[xrecnet] Senior Data Engineer With Dremio , Datalakehouse experience @Charlotte, NC (Onsite) Forward samezone consultants.

No opt/cpt

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

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Senior Data Engineer  With Dremio , Datalakehouse experience

Location:        Charlotte, NC  (Onsite)  Forward samezone consultants.

Rate                $50-55/hr on C2C

 NO OPT/CPT

 

Role Summary

 

We are seeking an experienced Senior Data Engineer with strong Dremio expertise to design, build, and optimize modern data lakehouse solutions. The ideal candidate will have hands-on experience with Dremio, SQL, PySpark, cloud-based data platforms, and large-scale analytical environments. The role involves enabling high-performance data access, implementing data engineering pipelines, and supporting business intelligence and AI/ML workloads.

 

Key Responsibilities

Design, develop, and maintain enterprise-scale data solutions using Dremio.

Build semantic datasets, virtual views, and optimized data models for analytics consumption.

Develop scalable ETL/ELT pipelines using Python, PySpark, and SQL.

Optimize query performance using Dremio Reflections and data partitioning strategies.

Collaborate with business analysts, data scientists, and BI teams to deliver trusted datasets.

Support data governance, lineage, security, and access control initiatives.

Troubleshoot production issues and perform root cause analysis.

Implement best practices for data quality, monitoring, and operational excellence.

Participate in architecture reviews and technology roadmap discussions.

    

 

Required Skills

 

Must Have

 

8+ years of Data Engineering experience.

3+ years of hands-on experience with Dremio.

Strong SQL development and query optimization skills.

Experience with Python and PySpark.

Experience working with Data Lakes and Lakehouse architectures.

Knowledge of Apache Iceberg, Parquet, Arrow, Delta Lake, or similar technologies.

Experience with AWS, Azure, or GCP cloud platforms.

Strong understanding of Data Warehousing concepts.

Experience with Git, CI/CD pipelines, and Agile methodologies.

 

Preferred

Experience with Snowflake, Databricks, Redshift, Synapse, or BigQuery.

Experience integrating BI tools such as Power BI, Tableau, or Qlik.

Familiarity with Data Governance and Metadata Management tools.

Knowledge of Generative AI or AI-ready data platforms.

Experience with Kubernetes and containerized deployments.

 

Nice to Have

AWS/Azure Data Engineering Certifications.

Experience with Apache Iceberg Catalogs.

Knowledge of Data Mesh and Modern Data Architecture patterns.

 

Regards

Pavan

VDart Inc

 

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

 

 

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