Senior Data Engineer
Arthur J. Gallagher & Co. (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, test, deploy, and maintain scalable ETL/ELT data pipelines, data models, and engineering solutions across source systems, data warehouses, and cloud platforms.
- Embed automated data quality controls and monitoring within pipelines to ensure reliability and data governance compliance.
- Collaborate with cross-functional teams including Data Owners, BI, platform, and governance stakeholders to deliver reusable data assets and support production operations.
Minimum Requirements
- Bachelor's degree required; preference for degrees in Computer Science, IT, Data Engineering, Engineering, Mathematics, Statistics, or related quantitative/technology disciplines.
- Strong hands-on experience with SQL (joins, aggregations, window functions, stored procedures), Python or equivalent programming, ETL/ELT development, and cloud data platforms.
- 5 to 8 years of senior-level experience in data engineering involving data transformation, pipeline orchestration, data modelling, and production support.
- Experience or familiarity with enterprise tools such as Azure Data Factory, Azure Synapse, Microsoft Fabric, Snowflake, Databricks, Airflow or equivalents is desirable but not mandatory.
Ideal Candidate Profile
- Proven ability to implement and optimize scalable data pipelines and data warehousing solutions in global or large enterprise environments, preferably BFSI or consulting sectors.
- Experienced in interpreting complex business requirements and source-to-target mappings to technical designs supporting governance and analytics.
- Strong ownership ethos, documentation rigor, and collaborative work style across global stakeholder environments.