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Tier-1 brand, popular data-engineer role and Bangalore metro raise applicant density and competition.
Core data engineering skills are widely transferable across industries despite some tool-specific (Talend) preferences.
Explicit multi-year requirements and mandatory Talend, SQL and data warehouse skills increase filtering strictness.
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Own design and development of data lakehouse components including requirements gathering, database modeling, ETL pipelines, and dashboards/reports.
Develop and maintain cloud-based operational data warehouse using tools like Talend, SQL, Python, and MPP databases (Azure Synapse, Hive, Snowflake).
Enable business analytics by optimizing data ingestion, storage, and federated querying for BI and Data Science teams.
Bachelor's or Master's degree in Computer Science, Mathematics, or Science.
Minimum 5 years of ETL development and coding experience including complex data mappings.
Proficiency with Talend (5+ years), SQL (8+ years), Python, and big data warehousing technologies like Azure Synapse, Hive, Snowflake, SQL Server, or Redshift.
Experience with cloud-based data platforms and ingesting data from varied external sources.
Experienced in building and optimizing large-scale data warehouses and ETL pipelines with a focus on customer experience data.
Comfortable working within modern cloud data stacks and integrating advanced analytical workflows for business and executive users.
Familiarity with Agile Scrum methodologies, BI tools (Tableau/Power BI), and exposure to Databricks or Data Science/Machine Learning projects.