Note: Please share me your updated resume with contact details to hari@dnsinfoltd.com
Hope you are doing well,
Please find the below requirement and if you comfortable and interested please share me your updated resume with contact details ASAP.
Role: ETL Developer with Financial Domain Exp
Location: Remote (Flexible to work in PST Timings)
Duration: Long Term
Job Summary –
10+ years of experience in data warehouse concept, ETL processing, Data analysis and visualization within financial services --Strong preference for life & Retirement insurance experience
Years of experience needed – 10+ Years
Technical Skills:
· 10+ years of experience in data warehouse concept, ETL processing, Data analysis and visualization within financial services – strong preference for life & Retirement insurance experience.
· Proficiency in SQL, Python, Unix shell scripting or other programming languages for data manipulation and analysis.
· Experience with cloud platforms (AWS, Azure) and data warehouses, esp. Snowflake.
· Expertise in BI tools such as Cognos, Qlikview, Power BI, Tableau, Business Object etc.
· Strong understanding of ETL processes and data pipeline development.
· Proficiency in design and development of ETL jobs using datastage and Talend Framework
· Working experience with various Databases like Oracle, SQL server, snowflake. Familiarity with ODBC connections, data sources, and working with large datasets across multiple platforms.
· Experience with data governance frameworks and tools
· Ability to work with large datasets and develop insights that drive business strategy.
· Strong problem-solving skills and the ability to work independently and in cross-functional teams.
Responsibility:
· Gather, clean, and structure raw data from multiple sources (internal systems, APIs, third-party data)
· Design & develop optimized SQL queries, ETL jobs using DataStage, Talend framework to extract, transform, and load data from multiple sources.
· Support processes to improve data quality, consistency, and accessibility.
· Ensure data integrity, perform validation checks, and resolve discrepancies for reporting and analytical teams.
· Design and develop interactive dashboards and reports using tools such as cognos, Qlikview, Business Object, Power BI and Tableau
· Translate complex datasets into easy-to-understand visualizations for business users.
· Optimize dashboard performance and automate reporting processes.
· Collaborate with stakeholders to define KPIs and key business metrics.
· Provide ad hoc analysis and support for strategic initiatives by utilizing clear data storytelling to drive business insights.
· Support the transition from legacy reporting solutions to scalable automated BI solutions.
· Implement best practices for data integration and management to support long term business intelligence initiatives.
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