Posted:23 hours ago|
Platform:
Work from Office
Full Time
Strong hands-on experience in Python programming and PySpark • Experience using AWS services (RedShift, Glue, EMR, S3 & Lambda) • Experience working with Apache Spark and Hadoop ecosystem. • Experience in writing and optimizing SQL for data manipulations • Good Exposure to scheduling tools. Airflow is preferable. • Must Have Data Warehouse Experience with AWS Redshift or Hive • Experience in implementing security measures for data protection. • Expertise to build/test complex data pipelines for ETL processes (batch and near real time) • Readable documentation of all the components being developed. • Knowledge of Database technologies for OLTP and OLAP workloads
Good understanding of Data warehouse and Data Lakes • Familiarize ETL tools like Netezza or Informatica. • Experience working with NoSQL databases like DynamoDB or MongoDB. • Good to have exposure to AWS services (Step Functions, Athena) • Data Modelling exposure • Familiarity with Investment Banking domain
Tata Consultancy Services
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