Thursday, September 17, 2026

[xrecnet] Position - Senior Go Software Engineer with Copybara & Bazel; Redmond, WA

Share resume with Karan.t@kaashtech.com 


Senior Go Software Engineer with Copybara & Bazel
Location: Redmond, WA

 

Role Summary

We are seeking a highly skilled Senior Go Software Engineer to deliver complex third-party open-source software (OSS) package upgrades within a large-scale monorepo environment. The engineer will assess package and dependency impacts, execute version upgrades, remediate compatibility issues, stabilize builds and existing tests, complete applicable presubmit validation, submit review-ready changes, and maintain clear migration records. Scope emphasis: The role focuses on diagnosing, fixing, and executing existing tests affected by package upgrades. Creation of new unit or integration test suites is not required.

 

Required Qualifications

  • 7+ years of software engineering experience, including substantial hands-on development and debugging in Go.
  • Strong command of Go modules, semantic versioning, transitive dependency resolution, package compatibility, and idiomatic API refactoring.
  • Copybara or comparable source-synchronization tooling.
  • Practical experience with Bazel, go build, go test, CI/presubmit pipelines, and large or monorepo-based build environments.
  • Demonstrated ability to isolate and remediate compiler, linker, build, test, and runtime failures introduced by dependency upgrades.
  • Proficiency with Git-based change management, code review, merge-conflict resolution, and local patch lifecycle management.
  • Strong Linux and scripting skills for investigation, repeatable validation, and engineering automation.
  • Clear written and verbal communication, disciplined documentation, and effective collaboration with reviewers and language subject-matter experts.

 

Regards,

Karan Tyagi

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[xrecnet] Need: Kafka Administrator (Ansible) @ MD Locals Only


Hi Associates,
Greetings!!

Please find the specs of the requirement below; kindly send suitable profiles to srikanth@dwintechcorp.com 

Kafka Administrator (Ansible)

Location: Woodlawn, MD | Onsite 5 days/week - LOCALS ONLY. 

Interview: In-person interview required

Key Requirements:

  • Ability to obtain and maintain an SSA Public Trust Clearance
  • Bachelor's degree + 7 years of experience
  • Strong experience administering Confluent Kafka clusters in production
  • Proven experience automating Kafka deployment and operations using Ansible
  • Extensive experience developing and troubleshooting Ansible playbooks, roles, and modules
  • Experience designing idempotent and scalable automation
  • Experience with Ansible Tower/AWX
  • Experience integrating automation with CI/CD and Git workflows
  • Strong Python and Bash scripting experience
  • Hands-on Linux experience, including SELinux, systemd, permissions, and networking
  • Experience securing Kafka environments using SSL/TLS, SASL, RBAC, and MDS
  • Experience with Prometheus, Thanos, and Grafana
  • Experience diagnosing Kafka performance, replication, partitioning, and consumer-lag issues
  • Experience managing Kafka topics, schemas, and connector integrations
  • Experience with Ansible Vault and secure secrets management
  • Experience automating hybrid Linux/Windows/cloud infrastructure
  • Experience with Jenkins, Docker, Kubernetes, and Git
  • Ability to develop enterprise-grade automation solutions
  • Ability to convert manual processes into automated workflows

Preferred Experience:

  • Confluent Cloud or hybrid Kafka architectures
  • Kafka Raft Metadata Mode (KRaft) and migration from ZooKeeper
  • Kubernetes-based Kafka deployments such as Strimzi and Confluent Operator
  • Performance tuning involving I/O, JVM, and networking
  • Federal compliance/security frameworks
  • AWS, Azure, or GovCloud.
---------------------------
Thanks & Regards
Srikanth A

Kindly submit your consultant profile to above Email ID. Email is the best way to reach me out.

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[xrecnet] Python Developer with AWS Cloud , Location: Saint Lois, MO/ Dallas / New York /Last option is remote




 

  "Kindly reply to this email pavankumar.s@vdartinc.com  with matching resumes only. Please avoid sharing hotlists or non-relevant profiles that do not strictly fit the requirements."  

 

No opt/cpt

Please submit only who can share stamped visa copy , i94 with travel history , local id proof , genuine documents.

plse dont share transfer cases or edited documents only genuine consultants plse.

 

Need solid profile

 

Python Developer  with AWS Cloud ,

Location: Saint Lois, MO/ Dallas / New York /Last option is remote

Rate- $50-55/hr on C2C

Required 11+yrs

NO OPT/CPT

 

Required Technical Skills

Programming, Python, Object-Oriented Programming (OOP), REST API Development, FastAPI / Flask / Django, AWS Cloud, AWS ElastiCache, AWS EC2, AWS Lambda, AWS S3, AWS RDS, AWS ECS / EKS, AWS CloudWatch, AWS IAM, Redis Expertise, Redis Data Structures, Redis Clustering, Redis Replication, Redis Sentinel, Caching Strategies, Pub/Sub Messaging

Distributed Locking, Session Management, Performance Tuning, High Availability Architecture, Databases, PostgreSQL, MySQL, DynamoDB, MongoDB (Preferred), Microservices & Integration, API Design, Event-Driven Architecture, Message Queues, Kafka / RabbitMQ (Preferred),

 

 

Keywords

Python, AWS ElastiCache, Redis, AWS Cloud, FastAPI, Flask, Django, Microservices, Caching, Session Management, Redis Cluster, Redis Sentinel, API Development, Docker, Kubernetes, PostgreSQL, DynamoDB, Cloud-Native Applications, High Availability, Performance Optimization.

 

 

DevOps & Automation

Git, Jenkins / GitHub Actions, Docker, Kubernetes, Terraform (Preferred)

 

Preferred Qualifications

Experience building large-scale distributed systems.

Strong experience with AWS cloud-native services.

Experience implementing Redis caching for high-traffic applications.

Knowledge of containerized deployments and Kubernetes.

Exposure to financial services, healthcare, retail, or e-commerce domains.

AWS Certification is a plus.

 

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.

 

Key Competencies

Strong problem-solving and analytical skills.

Excellent debugging and performance tuning expertise.

Effective communication and stakeholder management.

Ability to work in Agile/Scrum teams.

Strong ownership and accountability.

 

Nice to Have

AWS Certified Developer or Solutions Architect.

Experience with GraphQL.

Exposure to AI/ML application hosting.

Experience with Snowflake or Databricks integrations.

Knowledge of Infrastructure as Code (Terraform/CloudFormation).

 

Job Summary

We are seeking an experienced Python Developer with strong expertise in AWS Cloud, ElastiCache (Redis), and distributed application development. The ideal candidate will design, develop, and optimize scalable backend services while leveraging Redis caching solutions to improve application performance, scalability, and reliability.

 

Key Responsibilities

Design, develop, and maintain scalable backend applications using Python.

Build and optimize high-performance APIs and microservices.

Implement and manage caching strategies using AWS ElastiCache (Redis).

Develop solutions for session management, distributed caching, and real-time data processing.

Collaborate with architects and product teams to design cloud-native applications.

Optimize application performance through Redis-based caching mechanisms.

Develop and maintain database integrations and data access layers.

Monitor application performance and troubleshoot production issues.

Implement security best practices and cloud governance standards.

Participate in code reviews, design discussions, and architecture initiatives.

Develop CI/CD pipelines and automate deployment processes.

 

 

Pavan Kumar S

Lead Recruiter

E: pavankumar.s@vdartinc.com

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Regards

Pavan

VDart Inc

Ph: (470) 251-2584 Ext:1866

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

VDart Inc Email Logo

 

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[xrecnet] Opera Cloud Implementation Lead@Boston, MA (3 Days Hybrid)-- Kindly reply to this email pavankumar.s@vdartinc.com


  "Kindly reply to this email pavankumar.s@vdartinc.com  with matching resumes only. Please avoid sharing hotlists or non-relevant profiles that do not strictly fit the requirements."  

 

No opt/cpt

Please submit only who can share stamped visa copy , i94 with travel history , local id proof , genuine documents.

plse dont share transfer cases or edited documents only genuine consultants plse.

 

 

 

Role : Opera Cloud Implementation Lead

Location : Boston, MA (3 Days Hybrid)

Position type : Contract

Rate : $60-65/hr on C2C

                 No opt/cpt

 

Job description:

 

Core Skills:

 

Strong client-facing delivery experience

Stakeholder management, project coordination, risk and escalation management

Platform & Access Knowledge

Practical familiarity with Oracle Dev Portal onboarding, API credential provisioning (OAuth), sandbox environments, and Amadeus coordination protocols.

Ability to navigate and verify technical environment readiness autonomously.

Excellent communication skills

Ability to independently drive onsite delivery and cross-functional collaboration.

Blocker Resolution & Escalation

 

Preferred Oracle Cloud Infrastructure (Oracle Cloud Infrastructure) Skills:

 

Hospitality/Oracle ecosystem relationships.

Prior onsite lead on migration programmers.

Hospitality domain exposure

Hybrid Delivery Methodologies

Industry & Ecosystem Knowledge

 

Key Responsibilities:

 

Act as the primary onsite point of contact, representing the delivery team and ensuring effective coordination with client stakeholders.

Manage client communications, understand business priorities, and drive timely resolution of issues and dependencies.

Build strong stakeholder relationships through proactive engagement, transparency, and effective expectation management.

Operational Unblocking & Logistics

Identify risks, unblock challenges, and facilitate escalation management to ensure smooth project execution.

Work independently onsite while collaborating with offshore teams to align delivery activities and outcomes.

Provide regular status updates, coordinate cross-functional teams, and ensure successful delivery aligned with client objectives.

SME Scheduling: Coordinate and lock in Oracle SME availability to support data mapping and integration reviews

Pilot Readiness: Oversee certification and pilot run logistics directly on the ground.

Cross-Border Communication: Context Translation: Translate local client business context and feedback to the offshore factory team.

Status Reporting: Relay technical delivery updates back to client leaders

 

 

Education

Bachelor’s or Master of Engineering, or related fields.

 

 

 

 

 

 

Pavan Kumar S

Lead Recruiter

E: pavankumar.s@vdartinc.com

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Regards

Pavan

VDart Inc

Ph: (470) 251-2584 Ext:1866

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

VDart Inc Email Logo

 

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[xrecnet] Oracle DBA Manager/Database manager@Stamford, CT (5 Days Onsite) - only locals




 

 

  "Kindly reply to this email pavankumar.s@vdartinc.com  with matching resumes only. Please avoid sharing hotlists or non-relevant profiles that do not strictly fit the requirements."  

 

No opt/cpt

Please submit only who can share stamped visa copy , i94 with travel history , local id proof , genuine documents.

plse dont share transfer cases or edited documents only genuine consultants plse.

 

 

Role : Oracle DBA Manager/Database manager

Location : Stamford, CT (5 Days Onsite)   - Required locals only based in NJ, NY, and CT,

Position type : Contract

Experience Required : >12+ Years  

 

Note: Please share profiles of candidates based in NJ, NY, and CT, or nearby states, who are open to relocation or daily commute, as this is a 5-day onsite role.

 

Skill Matrix:

 

Skill

Years of Experience

OCI

 

ADB

 

DBA

 

Snowflake

 

Redshift

 

Postgres

 

MongoDB

 

Lead Management

 

 

Role Overview:

The Senior Database Administrator/Oracle DBA Manager is responsible for the strategic leadership, architecture, and operational management of all enterprise database platforms across on-premises and cloud environments. This role ensures the reliability, security, performance, and scalability of mission-critical data systems while aligning database services with enterprise technology strategy.

This position oversees complex multi-platform ecosystems including relational, cloud-native, and analytical databases, and will lead both on-shore and off-shore resources in delivering highly available and secure database services.

This position requires strong technical depth combined with leadership capability, governance experience, and cross-functional collaboration across engineering, security, infrastructure, and application teams.

Responsibilities

Enterprise Database Strategy & Architecture

Define and drive enterprise database architecture standards, roadmaps, and modernization initiatives.

Provide technical leadership across hybrid and multi-cloud environments.

Evaluate emerging database technologies and recommend adoption strategies aligned with business objectives.

Establish best practices for scalability, resiliency, and performance optimization.

Platform Administration & Engineering

Provide leadership and hands-on expertise across enterprise database platforms including but not limited to:

Oracle (including Autonomous Database), PostgreSQL, Amazon Redshift, IBM DB2, Snowflake, MongoDB, MySQL, Microsoft SQL Server, and other enterprise database technologies as required.

Responsibilities include high availability and disaster recovery architecture, performance tuning and capacity planning, patch and lifecycle management, automation and infrastructure-as-code practices, and optimization across OLTP and analytics workloads.

Cloud & Hybrid Database Operations

Lead database deployments across cloud platforms including AWS RDS, OCI Autonomous Database, and hybrid architectures.

Develop governance frameworks for cloud database provisioning, cost optimization, and operational controls.

Partner with Cloud Engineering and DevOps teams to implement automation, CI/CD integration, and platform observability with a heavy emphasis on Infrastructure as Code.

Security, Risk & Compliance

Ensure database platforms meet enterprise security, audit, and regulatory requirements.

Collaborate with cybersecurity teams on vulnerability management, encryption standards, and access governance.

Implement secure configuration baselines and data protection strategies.

Team Leadership & Resource Management

Lead and mentor both on-shore and off-shore database administration teams.

Manage vendor relationships and third-party service providers.

Establish operational procedures, service level objectives, and performance metrics.

Provide escalation leadership during critical incidents and production events.

Operational Excellence

Drive automation and standardization of database operations.

Develop monitoring, alerting, and proactive maintenance practices.

Improve reliability through continuous improvement initiatives.

Support enterprise programs including cloud migrations, platform upgrades, and data center transitions.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).

10+ years of progressive database administration experience in enterprise environments.

Demonstrated expertise across multiple database platforms (Oracle, PostgreSQL, SQL Server, Snowflake, MongoDB, DB2, Redshift, etc.).

Proven experience managing hybrid cloud and on-prem database deployments.

Experience leading distributed technical teams including offshore resources.

Strategic thinker with strong execution capability

Ability to balance governance with engineering innovation

Strong incident leadership and crisis management experience

Strong understanding of high availability, disaster recovery, and enterprise security practices.

Preferred Qualifications

Experience with Autonomous Database, AWS RDS, or large-scale cloud-native data platforms.

Background in IaC and CI/CD automation frameworks (Terraform, Ansible, Jenkins, or similar).

Experience supporting mission-critical or regulated environments.

Knowledge of data warehousing, analytics platforms, and modern data engineering patterns.

Education Qualification

 

Bachelor’s/Master’s in Computer Science, Information Technology, Engineering, or related field (equivalent experience acceptable

 

 

 

 

 

Pavan Kumar S

Lead Recruiter

E: pavankumar.s@vdartinc.com

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Regards

Pavan

VDart Inc

Ph: (470) 251-2584 Ext:1866

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

VDart Inc Email Logo

 

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[xrecnet] Data Science Tech Lead with AI , Pharmacy clinical patient domain , Health care @ Remote




 


 

  "Kindly reply to this email pavankumar.s@vdartinc.com  with matching resumes only. Please avoid sharing hotlists or non-relevant profiles that do not strictly fit the requirements."  

 

No opt/cpt

Please submit only who can share stamped visa copy , i94 with travel history , local id proof , genuine documents.

plse dont share transfer cases or edited documents only genuine consultants plse.

 

 

 

Data Science Tech Lead with AI , Pharmacy clinical patient  domain  , Health care

Location- Remote

Need 10+ years’ experience candidates.

NO OPT/CPT

 

About the Role

We are looking for a Data Science Lead to own, design, and deliver a high-visibility machine learning solution focused on adverse events (AEs) in specialty patients. Today, clinical outreach for patients on specialty therapies follows a largely static, one-size-fits-all schedule. This initiative aims to change that — using patient data to understand when and why patients experience adverse events and discontinue therapy, and to help clinical teams intervene at the right time, in the right way, for the right patients.

 

You will be the single accountable owner for this workstream: shaping the problem with clinical and business stakeholders, designing the solution, leading a team of data scientists and engineers to build it, and driving it through to delivery under tight, visible deadlines. The near-term goal is a validated risk-and-insight capability; the longer-term vision extends into personalized, data-driven care enablement and AI-assisted outreach.

 

What You'll Do

  • Own the problem & the outcome
  • Own the initiative end to end — from framing the problem to shipping a solution that measurably improves therapy persistence and intervention timing.
  • Partner with clinical product, operations, and business stakeholders to identify requirements, translate ambiguous clinical goals into a concrete technical problem statement, and define what success looks like.
  • Refine the modeling target beyond "predict any adverse event" toward the outcomes that matter — therapy discontinuation, serious/clinically meaningful events, and intervention timing.
  • Design the solution
  • Lead solution design for the full ML lifecycle: data sourcing, feature engineering, modeling approach (including time-to-event / survival framing), evaluation, explainability, and deployment into clinical workflows.
  • Make sound build decisions across per-product modeling, concomitant-therapy effects, class imbalance, noisy labels, and point-in-time correctness.
  • Design for explainability and clinician trust — every prediction should be interpretable and actionable.
  • Drive delivery & lead the team
  • Break the work into iterative, demonstrable deliverables — prove value early (e.g., descriptive insights and a risk report) before full workflow integration.
  • Define milestones and roadmap, run daily standups, remove blockers, and hold the team and yourself accountable to committed dates.
  • Build the solution hands-on alongside data scientists and engineers, set the technical quality bar, and mentor/develop the team.
  • Manage stakeholders & navigate the organization
  • Manage expectations proactively — communicate what's feasible now vs. later, surface risk early, and renegotiate scope rather than silently slipping.
  • Navigate cross-team and political boundaries delicately, including dependencies on data-owning teams you don't control; build trust, escalate constructively, and keep relationships intact.
  • Communicate exceptionally well to both technical and non-technical audiences, including delivering honest assessments when the data or timeline demands it.

 

Required Qualifications

  • 7+ years of data science and machine learning experience, delivering models that reached production or drove real business decisions.
  • 3+ years leading machine learning or data science projects end to end — from problem framing through deployment.
  • 3+ years working directly with business stakeholders and product owners: managing expectations, owning delivery, and driving a high-visibility workstream under tight deadlines.
  • Significant solution-design experience for building machine learning systems, not just individual models.
  • Strong hands-on expertise in Python and the modern ML/DL ecosystem.
  • Deep, practical understanding of machine learning and deep learning — able to choose the right approach and reason about tradeoffs, evaluation, and failure modes.
  • Experience with AWS and Databricks for building and deploying data/ML solutions at scale.
  • Experience working with healthcare data (and awareness of the associated data-quality, privacy, and governance realities).
  • Demonstrated leadership presence: self-motivated, driven to deliver results, and able to earn the confidence of both technical teams and senior stakeholders.

 

Preferred Qualifications

  • Experience in pharmacy, specialty pharmacy, or clinical/patient-outcomes domains, with working familiarity of the relevant datasets (therapy, dosing, adverse events, discontinuation, claims).
  • Familiarity with time-to-event / survival analysis and its application to intervention-timing problems.
  • Experience deploying models into clinical or operational workflows with human-in-the-loop decisioning and measurable outcome validation (e.g., controlled rollouts).
  • Exposure to Generative AI / agentic approaches and a pragmatic view of where they fit in a regulated setting.
  • Experience with data governance, PHI/HIPAA constraints, and model documentation in a regulated environment.
  • Familiarity with MLOps practices: feature stores, model monitoring, and reproducible pipelines.

 

Core Skills & Technologies

  • Python
  • Machine Learning
  • Deep Learning
  • AI / GenAI
  • AWS
  • Databricks
  • Spark
  • Survival Analysis
  • Model Explainability
  • MLOps
  • Healthcare Data
  • Solution Design

 

Who You Are

  • A leader who takes ownership and drives outcomes without waiting to be told.
  • Self-motivated and results-driven, comfortable with ambiguity and tight timelines.
  • An exceptional communicator across technical and clinical/business audiences.
  • Skilled at breaking big, fuzzy asks into clear iterative deliverables.
  • Diplomatic and effective at navigating organizational and political boundaries.
  • Deeply technical yet grounded in business value and patient impact.

 

 

Pavan Kumar S

Lead Recruiter

E: pavankumar.s@vdartinc.com

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The content of this email is confidential and intended for the recipient specified in message only. It is strictly forbidden to share any part of this message with any third party, without a written consent of the sender. If you received this message by mistake, please reply to this message and follow with its deletion, so that we can ensure such a mistake does not occur in the future.

 

 

 

 




--


Regards

Pavan

VDart Inc

Ph: (470) 251-2584 Ext:1866

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

VDart Inc Email Logo

 

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[xrecnet] Data Engineer with python ,ETL , AWS , Bigdata @Location: Saint Louis, MO/ Dallas New York / Last option is remote



 

 


 

  "Kindly reply to this email pavankumar.s@vdartinc.com  with matching resumes only. Please avoid sharing hotlists or non-relevant profiles that do not strictly fit the requirements."  

 

No opt/cpt

Please submit only who can share stamped visa copy , i94 with travel history , local id proof , genuine documents.

plse dont share transfer cases or edited documents only genuine consultants plse.

 

 

 Data Engineer  with python ,ETL , AWS , Bigdata

Location: Saint Louis, MO/ Dallas   New York  / Last option is remote

Rate- $55-60/hr on C2C

11+yrs required

No opt/cpt

 

Required Technical Skills

Programming & Data Processing, Python, PySpark, SQL, Data Modelling, ETL / ELT Development, Cloud & Big Data, AWS Glue, AWS S3, AWS Lambda, AWS EMR (Preferred)

AWS Redshift (Preferred)

AWS IAM

Databricks

Databricks Workspace

Delta Lake

Spark Structured Streaming

Unity Catalog

Job Orchestration

Performance Optimization

Data Lake Technologies

Data Lake Architecture

Delta Lake

Medallion Architecture (Bronze, Silver, Gold)

Data Governance

Metadata Management

Database Technologies

Snowflake (Preferred)

PostgreSQL

SQL Server

Oracle

DevOps & CI/CD

Git

Azure DevOps / Jenkins

CI/CD Pipelines

Terraform (Preferred)

 

Preferred Qualifications

Experience with Healthcare, Insurance, Financial Services, or Retail domain.

Hands-on experience in cloud migration projects.

Experience with real-time data processing using Kafka or Kinesis.

Knowledge of Data Governance and Master Data Management.

Understanding of Data Warehousing concepts and dimensional modelling.

 

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.

 

Key Competencies

Strong analytical and problem-solving abilities.

Excellent communication and stakeholder management skills.

Ability to work in Agile/Scrum environments.

Strong debugging and performance tuning expertise.

Ability to work independently and manage multiple priorities.

 

Nice to Have

Snowflake

Kafka

Airflow

dbt

Azure Data Factory

Machine Learning data pipelines

AWS Certifications or Databricks Certifications

 

Keywords

Python, PySpark, AWS Glue, Databricks, Delta Lake, AWS S3, ETL, ELT, Spark, Data Engineering, Kafka, Snowflake, SQL, Cloud Data Platform, Data Warehouse, Real-Time Processing, Medallion Architecture, Big Data.

 

 

 

We are seeking a skilled Data Engineer with strong expertise in Python, PySpark, AWS Glue, Databricks, and Data Lake technologies. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data lake architectures, and cloud-based analytics solutions that support enterprise reporting, business intelligence, and advanced analytics initiatives.

 

Key Responsibilities

Design and develop scalable ETL/ELT pipelines using Python, PySpark, AWS Glue, and Databricks.

Build and maintain enterprise Data Lake solutions for structured, semi-structured, and unstructured data.

Develop data ingestion frameworks for batch and near real-time processing.

Create and optimize data transformation workflows to support analytics and reporting requirements.

Collaborate with business analysts, data architects, and stakeholders to understand data requirements.

Implement data quality validations, reconciliation processes, and monitoring solutions.

Optimize Spark jobs and Databricks workloads for performance and cost efficiency.

Develop reusable frameworks, libraries, and best practices for data engineering teams.

Support cloud migration and modernization initiatives.

Troubleshoot and resolve data pipeline failures and performance bottlenecks.

Ensure data security, governance, and compliance standards are maintained.

 

 

 

 

 

Pavan Kumar S

Lead Recruiter

E: pavankumar.s@vdartinc.com

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Regards

Pavan

VDart Inc

Ph: (470) 251-2584 Ext:1866

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

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