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Tier-1 brand, mid-level generalist data role in Bangalore with broad skill requirements increases applicant competition.
Data engineering skills are broadly transferable, though specific big-data and cloud tool requirements increase domain specificity.
Explicit 5–8 year requirement plus a long mandatory tech stack increases shortlisting strictness.
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Design, build, and implement data pipelines and data infrastructure using big data and cloud technologies to enable efficient data processing and analysis.
Leverage technologies including AWS services (S3, Glue, EMR, Lambda, Kinesis), Spark, Kafka, Airflow, DBT, Flink, Apache Iceberg to transform raw data into actionable insights.
Contribute to data integration, transformation solutions and potentially CI/CD framework implementation with code repositories like GitHub.
5-8 years of experience in Big Data Engineering or related domain.
Mandatory technical skills: Big Data technologies, AWS (S3, Glue, EMR, Aurora Postgres, Lambda, Kinesis), SQL, Python and/or Scala, Spark, Kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog.
Educational qualification: Bachelor's degree in Engineering (B.Tech/B.E) or equivalent (M.Tech/M.E/MCA).
Experience with Snowflake and CI/CD frameworks is highly preferred but not mandatory.
Experienced in working with advanced data engineering toolsets and cloud infrastructure at scale, comfortable with complex big data ecosystems.
Able to develop robust, scalable data pipelines integrating a range of streaming and batch technologies to meet enterprise-level analytics needs.
Skilled in implementing data solutions within Agile environments, familiar with code versioning and continuous integration practices.