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Popular data-engineer title, broad skillset, metro location and moderate brand increase applicant competition.
Skills are transferable across industries, though financial domain and DW expertise moderately increase sensitivity.
Explicit 10+ years plus required Snowflake/DBT, SQL, and data modeling increases shortlisting strictness to high.
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Lead design, development, and maintenance of large-scale enterprise data platforms and data pipelines using ETL/ELT processes.
Ensure data integrations support Enterprise Data Warehouse, Operational Data Store, or Data Marts with compliance to data access, security, privacy, and governance requirements.
Manage data engineering deliverables, perform design reviews, coordinate releases, and collaborate across global teams to deliver timely business value.
10+ years of experience designing and building Data Warehouses and Data Lakes.
Expertise in SQL, stored procedures, and performance tuning of complex data pipelines and queries.
Experience with cloud-based data platforms, specifically Snowflake and AWS.
Work Experience Required: 10+ years in data engineering; Location: Bangalore; Role Type: Hybrid.
Proven ability to lead and manage a team of data engineers and coordinate across multiple stakeholders including senior leaders and cross-functional teams.
Strong experience with large scale enterprise data warehousing technologies (Oracle, Netezza, Teradata, SQL Server) and data modeling approaches (Relational, Dimensional, Data Vault).
Skilled in agile engineering practices, automated CI/CD processes (GitLab), and tools for scheduling and data ingestion like Control-M, DBT, or equivalent.