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Tier-1 bank, metro Bangalore, generic Data Engineer title and broad skillset increase applicant competition.
Strong technical data engineering skills transfer well, though banking domain and compliance add moderate domain specificity.
Explicit 8+ years requirement and many mandatory technical skills increase screening strictness.
Design and develop scalable, reliable data pipelines and platforms for large-scale data environments.
Collaborate with stakeholders to translate business requirements into technical data engineering solutions aligned with data design and strategy.
Mentor junior data engineers and provide technical governance to ensure quality and adoption of data products.
8+ years of experience in Data Engineering in large-scale, data-intensive environments.
Proficiency with Hadoop (Spark, Scala), Python, SQL, AWS cloud services (EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, CloudWatch).
Bachelor’s degree in Computer Science or Information Technology Engineering.
Experience with data warehousing concepts, data modeling, ETL/ELT processes, Apache Airflow, and CI/CD pipeline development.
Experienced in building and optimizing complex data pipelines and managing data orchestration in cloud and distributed environments.
Strong AWS cloud expertise with relevant certifications preferred (e.g., AWS Certified Data Engineer, AWS Data Analytics Specialty).
Familiar with AI/GenAI tools and automation for driving business value and enhancing data solutions.