Data Engineer 3 to 6 Years The main goal of the Data Engineer would be to develop, optimize and troubleshoot complex technical database integrations/problems in a OLAP/DWH/Bigdata environments: Good hands on building data pipelines on Data tech stack with knowledge on Spark with programming using Python. Strong expertise on SQL with 3-5 years working on multiple database systems like Postgres, Oracle and Redshift having hands-on experience in implementing data ingestion pipelines Good hands on experience working with Databricks Experience working on various database systems like Postgres, Oracle and Redshift. Good Experience on Unix Shell scripting and Python Experience to different AWS Services like S3, Glue, Athena, EMR, EC2, RDS , DMS etc. Experience on streaming solutions Kafka would be add on Previous experience in Data Operations Commitment to product quality, keen interest to learn and work on latest technology stacks and solutions. Ability to perform Data Analysis, visualize Data patterns and good understanding of Data Quality. Good communication skills and soft skills
