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AWS Data Engineer
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Role & responsibilities
Walk In Invitation :: TCS ::AWS Data Engineer: Bangalore:: 29-AUG-2026 (Saturday)
Location - Bangalore(Face to Face Interview)
Exp - 5+
Interested and available candidates on 29-AUG-2026 can share profile.
1) Should be able to design strategies and programs to collect, store, analyse and visualize data from various sources.
2) Should be able to develop big data solution recommendations and ensure implementation of the chosen big data solution.
3) Needs to be able to program, preferably in different programming/scripting languages such as Scala, Python, Java, Pig or SQL.
4) Proficient knowledge in Big data frameworks Spark, Map Reduce,
5) Should have an understanding of Hadoop, Hive, HBase, MongoDB and/or MapReduce.
6) Should also have experience with one of the large cloud-computing infrastructure solutions like Amazon Web Services or Elastic MapReduce.
7) Tuning the Spark Engine for high volume of data ( approx billion records) processing using BDM.
8) Troubleshoot data issues, deep dive into root cause analysis of any performance issue.
Job ID: 153647763
Skills:
Pyspark, AWS Glue, Postgres, SQL Server, Apache Spark, Visual Studio, AWS Athena, SSIS, Python, Sql, Matillion
Skills:
snowflake , Github, Data Warehouse Concepts, Sql, Amazon Redshift, Gitlab, Python, Dimensional Modelling, Copilot, Snowflake Schema, Google BigQuery, ChatGPT, AI-assisted development tools, GitLab Duo, Gemini
Skills:
Data Quality, Metadata Management, Data Governance, Python, Sql, workflow orchestration tools, ETL ELT frameworks, AWS cloud platforms, lakehouse or data lake architectures
