- Excellent communication (both oral and written) and documentation
- Hands-on experience in the complete eco-system of any one/more of the various Hadoop distributions such as MapR (preferred) and/or Hortonworks and/or Cloudera and/or Apache Hadoop, with specialization in tools such as Spark (Core and SQL), Hive and NoSql Databases such as HBase and/or Cassandra and/or MongoDB
- Hands-on experience in the various services of Google Cloud Platform (GCP) cloud such as Cloud Storage, DataFlow, DataProc, CI/CD, Big Query, Spanner, BigTable, Composer, Pub/Sub, Hyper-drive, etc…
- Broader responsibilities include but not limited to analysis, design, development and testing as needed
- Should be a self-starter, team player, team-oriented and should be thorough focusing on the quality of the deliverable and time to market
📌 Data Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune
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