Azure Senior Data Lead

Job description

Job Description – Data Engineer (Data Migration) Role: Data Engineer – Data Migration Experience: 5–8 years Primary Skill: Data Engineering & Migration Location: Offshore / India Engagement: Full-time Role Overview We are looking for an experienced Data Engineer to design, develop, and execute data migration solutions across enterprise applications and platforms. The role will be responsible for data extraction, transformation, validation, reconciliation, and loading while ensuring data quality, integrity, security, and minimal business disruption during migration. Key Responsibilities Key Responsibilities Design and execute end-to-end data migration from legacy/source systems to target platforms. Develop and maintain ETL/ELT pipelines for extraction, transformation, cleansing, and loading. Perform source-to-target data mapping and transformation-rule implementation. Analyze legacy datasets and identify data quality, duplication, completeness, and consistency issues. Develop automated processes for data validation and reconciliation between source and target systems. Support migration activities including mock migrations, dress rehearsals, cutover, and post-migration validation . Troubleshoot migration failures, performance bottlenecks, and data discrepancies. Implement logging, exception handling, auditability, and restart/recovery mechanisms within migration pipelines. Work closely with application teams, architects, DBAs, business analysts, and functional SMEs to validate migration requirements. Prepare and maintain migration documentation, mapping specifications, reconciliation reports, and operational runbooks. Skill Requirements Technical Skills – Must Have Strong SQL skills, including complex queries, joins, stored procedures, and performance optimization. Hands-on experience with ETL/ELT and data migration projects. Strong understanding of relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL . Experience with data transformation, cleansing, mapping, validation, and reconciliation. Working knowledge of Python / PySpark for data processing and automation. Experience handling large-volume datasets and optimizing migration performance. Understanding of data quality, metadata, lineage, governance, and security principles. Experience with Git / Azure DevOps or equivalent source control and CI/CD tooling. Good to Have Experience with Microsoft Azure , particularly Azure Data Factory, Azure Data Lake Storage, Azure SQL, and Databricks. Experience migrating data from on-premises/legacy systems to cloud platforms . Knowledge of APIs, JSON, CSV, XML, Parquet, and other structured/semi-structured data formats. Exposure to Power BI or similar reporting/reconciliation tools. Experience working in large enterprise environments, preferably Insurance / BFSI . Other Requirements Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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