Data Engineer Lead

3 - 6 years

0 Lacs

Posted:22 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

We are seeking a Data Engineer with strong expertise in SQL and ETL processes to support banking data quality data pipelines, regulatory reporting, and data quality initiatives. The role involves building and optimizing data structures, implementing validation rules, and collaborating with governance and compliance teams. Experience in the banking domain and tools like Informatica and Azure Data Factory is essential. Strong proficiency in SQL for writing complex queries, joins, data transformations, and aggregations
Proven experience in building tables, views, and data structures within enterprise Data Warehouses and Data Lakes Strong understanding of data warehousing concepts, such as Slowly Changing Dimensions (SCDs), data normalization, and star/snowflake schemas Practical experience in Azure Data Factory (ADF) for orchestrating data pipelines and managing ingestion workflows Exposure to data cataloging, metadata management, and lineage tracking using Informatica EDC or Axon Experience implementing Data Quality rules for banking use cases such as completeness, consistency, uniqueness, and validity Familiarity with banking systems and data domains such as Flexcube, HRMS, CRM, Risk, Compliance, and IBG reporting Understanding of regulatory and audit readiness needs for Central Bank and internal governance forums Write optimized SQL scripts to extract, transform, and load (ETL) data from multiple banking source systems Design and implement staging and reporting layer structures, aligned to business requirements and regulatory frameworks Apply data validation logic based on predefined business rules and data governance requirements Collaborate with Data Governance, Risk, and Compliance teams to embed lineage, ownership, and metadata into datasets Monitor scheduled jobs and resolve ETL failures to ensure SLA adherence for reporting and operational dashboards Support production deployment, UAT sign off, and issue resolution for data products across business units 3 to 6 years in banking-focused data engineering roles with hands on SQL, ETL, and DQ rule implementation Bachelors or Master's Degree in Computer Science, Information Systems, Data Engineering, or related fields Banking domain experience is mandatory, especially in areas related to regulatory reporting, compliance, and enterprise data governance

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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Virtusa

Information Technology and Services

Southborough

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