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Airflow Data Engineer in AWS platform Job Title Apache Airflow Data Engineer ROLE” as per TCS Role Master • 4-8 years of experience in AWS, Apache Airflow (on Astronomer platform), Python, Pyspark, SQL • Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement. • Experience in creating data pipelines and orchestrating using Apache Airflow • Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts. • Good to have: Experience with cloud ETL and ELT in one of the tools like DBT/Glue/EMR or Matillion or any other ELT tool • Excellent communication skills to liaise with Business & IT stakeholders. • Expertise in planning execution of a project and efforts estimation. • Exposure to working in Agile ways of working. Candidate for this position to be offered with TAIC or TCSL as Entity Data warehousing , pyspark , Github, AWS data platform, Glue, EMR, RedShift, databricks,Data Marts. DBT/Glue/EMR or Matillion, data engineering, data modelling, data consumption
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