7 years
0 Lacs
Posted:2 weeks ago|
Platform:
On-site
Full Time
Working on EMR, good knowledge of CDK and setting up ETL and Data pipeline
Coding - Python
AWS EMR, Athina, Supergule, Sagemaker, Sagemaker Studio
Data security & encryption
ML / AI
Pipeline
Redshift
AWS Lambda
Nice to have skills & experience:
Oracle/SQL Database administration
Data modelling
RDS & DMS
Serverless Architectrure
DevOps
3+ years of industry experience in Data Engineering on AWS cloud with glue, redshift , Athena experience. · Ability to write high quality, maintainable, and robust code, often in SQL, Scala and Python. · 3+ Years of Data Warehouse Experience with Oracle, Redshift, PostgreSQL, etc. Demonstrated strength in SQL, python/pyspark scripting, data modeling, ETL development, and data warehousing · Extensive experience working with cloud services (AWS or MS Azure or GCS etc.) with a strong understanding of cloud databases (e.g. Redshift/Aurora/DynamoDB), compute engines (e.g. EMR/Glue), data streaming (e.g. Kinesis), storage (e.g. S3) etc. · Experience/Exposure using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
Tata Consultancy Services
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