Job Location: Pune
Must-Have:
Tech-savvy engineer – willing and able to learn new skills, track industry trend
3 to 8 years of total experience of very strong data engineering experience, especially in an Open Source, data-intensive, distributed environment with a minimum of 2 years of experience in Big data related technologies like Spark, PySpark, Airflow, Hive, etc
Good to have Experience in the migration of data to AWS or to the GCP Cloud
Programming background – preferred Python
Experience in Building ETL Pipelines
Experience in Building Data pipelines in AWS ( S3, EC2, EMR, Athena, Redshift ) or in GCP (Big Query, Dataproc, Data fusion, Dataproc, Dataflow
Self-starter resourceful personality with the ability to manage pressure situations
Exposure to Scrum and Agile Development Best Practices
Experience working with geographically distributed teamsRole Responsibilities:
Build Data and ETL pipelines in AWS or in GCP
Support migration of data to cloud using Big Data Technologies like Spark, Hive, Python
Interact with customers on daily basis to ensure smooth engagement
Responsible for timely and quality deliveries.
Fulfill organization responsibilities – Sharing knowledge and experience with the other groups in the organization, conducting various technical sessions and training.Key Skills: Spark, Hive, Python, AWSEducation: BE/B.Tech from a reputed
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