Design and build contemporary Data Pipelines, Data Streams and Data

Service Application Programming Interfaces (APIs).

· Develops and builds out new API integrations to support continuing

increases in data volume and complexity.

· Have Prior Experience in Integrating External data feeds like Twitter,

Facebook and 3rd party data sets into their data warehouses.

· Work on a Cloud based Datawarehouse like AWS and work with

transactional and unstructured data to develop interfaces for

downstream reporting and data sciences projects.

· Works closely with all business units and engineering teams to

develop strategy for long term data platform architecture.

· Manage Data Lake and Analytical Applications which is hosted in

AWS environment like Redshift, EMR and EC2.





· Create data ingestion procedures using Python, Spark, Lambda, Glue

etc.

· Collaborates with analytics and business teams to improve data

models that feed business intelligence tools, increasing data

accessibility and fostering data-driven decision making across the

organization.

· Experience handling un-structured data, leveraging data streaming

and developing data pipelines driven by events and queues.

If you are interested in this position, please send your updated resume,

so that we can discuss further ASAP.

📌 Big Data Engineer (Mumbai)
🏢 Recognized
📍 Mumbai