Posted:1 week ago|
Platform:
On-site
Full Time
Position - Data Engineer Location - Pune Experience - 6+ years Must Have: Tech-savvy engineer - willing and able to learn new skills, track industry trend 6+ years of total experience of solid data engineering experience, especially in open-source, data-intensive, distributed environments with experience in Big data-related technologies like Spark, Hive, HBase, Scala, etc. Programming background – preferred Scala / Python. Experience in Scala, Spark, PySpark and Java (Good to have). Experience in migration of data to AWS or any other cloud. Experience in SQL and NoSQL databases. Optional: Model the data set from Teradata to the cloud. Experience in Building ETL Pipelines Experience in Building Data pipelines in AWS (S3, EC2, EMR, Athena, Redshift) or any other cloud. Self-starter & resourceful personality with the ability to manage pressure situations Exposure to Scrum and Agile Development Best Practices Experience working with geographically distributed teams Role & Responsibilities: Build Data and ETL pipelines in AWS Support migration of data to the cloud using Big Data Technologies like Spark, Hive, Talend, Python Interact with customers on a daily basis to ensure smooth engagement Responsible for timely and quality deliveries. Fulfill organization responsibilities – Sharing knowledge and experience within the other groups in the organization, conducting various technical sessions and training. Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow! Facebook | Twitter | LinkedIn | Instagram | Youtube Show more Show less
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Pune, Maharashtra, India
Salary: Not disclosed
Pune, Maharashtra, India
Salary: Not disclosed