Data Engineer - Big Data Technologies (7-10 yrs)

Desirable Skills :

- BE, MCA, or MS degree in Computer Science or Information Technology

- 8+ years of experience as a data engineer at an innovative organization

- 5+ years of hands-on experience implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive, Spark & Scala, Python, etc.

- 3+ years of Expertise in building applications using Kafka, Golden Gate, etc. for building ingestion pipelines for Bulk and incremental data loads

- Strong expertise (preferably 5 years) in SDLC cycle including stakeholder management, people management, risk management, strategic management, communication management

What you'll do :

- Design & Build ingestion pipelines using ELT and schema on read in Databricks Delta lake

- Design & Develop "Transformations" aspects using the ELT framework to modernize the Ingestion pipelines and build data transformations at scale

- Work closely with other data teams & Data Science teams and participate in the development of Ingestion pipelines

- Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python, and Spark

- Build and maintain a data environment for speed, accuracy, consistency, and 'up' time

- Work closely with other data teams & Data Science teams and participate in the development of Ingestion pipelines

- Ensure data governance principles are adopted, data quality checks and data lineage implemented in each hop of the data

- Be in tune with emerging trends Big data and cloud technologies and participate in the evaluation of new technologies

- Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards