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Tier-1 brand, metro location, generalist data engineer title, and broad skillset increase applicant competition.
Core data engineering skills (PySpark, SQL, Airflow) are highly transferable across industries.
Explicit 1–3 years plus mandatory Hive/PySpark/SQL/Airflow production experience require strict filtering.
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Build and manage large-scale ETL data pipelines and platforms for Visa Consulting & Analytics business line.
Develop, schedule, and monitor DAGs in Apache Airflow to ensure data quality, scalability, and reliability across regions.
Collaborate with stakeholders to deliver analytical insights and support Visa’s data-driven decision-making and innovation strategy.
1-3 years experience building data pipelines using Hive, PySpark, SQL, and Unix/Linux environments.
Experience in SQL query writing and optimization in big data environments.
Ability to perform unit testing, debug production systems, and resolve performance bottlenecks.
Location: Bengaluru (Hybrid role with minimum 3 days in office as per hiring manager).
Experienced in ETL/ELT development with strong proficiency in Hive, PySpark, SQL, and Unix shell scripting.
Detail-oriented with strong data analytics and debugging skills to maintain data quality and pipeline reliability.
Familiarity with agile methodologies and ability to work cross-functionally with product, business, and technical teams.