• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :-

• No of position :- ( 1 )

• Post :- 31st Aug 2021

3+ years experience designing, implementing and maintaining relational / data warehousing environments (custom or structured ETL, preferably working with large data environments)
Experience with developing robust and tested Python applications to support the data warehouse
Experience working with Linux and debugging performance issues. Experience with the Heroku SAS Platform is a big plus.
Strong background in Data Warehousing concepts and schema design
Experience implementing and managing Python open source data tooling such as Airflow, DBT, SQLAlchemy, pandas, Jupyter
History of designing, building and launching extremely efficient & reliable data pipelines to move data (both large and small amounts) throughout a Data Warehouse.
Strong experience working with RDBMS & MPP databases (Redshift, PostgreSQL, Snowflake), with ability to optimize queries for high volume environments.
Some experience in data streaming with Kafka, Kinesis would be a big plus.
Must exhibit strong communication skills, empathy, and initiative