About the role
Data engineering & orchestration on AWS: Informatica 10.5.4, Airflow, Jenkins, Kafka, PySpark/Spark.
Data lake/warehouse & stores: S3, Redshift/Snowflake, SQL/NoSQL (Postgres, Mongo, Cassandra).
BI & reporting: Power BI.
Advanced analytics: Python/R for ML, NLP, forecasting and experimentation.
Minimum 8+ years of experience in data analytics, business intelligence, or quantitative research, including at least 3 years leading analytics initiatives
B.Tech./M.Tech/M.S./PhD in Computer Science, Statistics, Mathematics, Economics, or related quantitative field (advanced degree preferred).
Demonstrated expertise in managing and delivering government projects, with a strong specialization in the skilling domain
Data engineering & orchestration on AWS: Informatica 10.5.4, Airflow, Jenkins, Kafka, PySpark/Spark.
Data lake/warehouse & stores: S3, Redshift/Snowflake, SQL/NoSQL (Postgres, Mongo, Cassandra).
BI & reporting: Power BI.
Advanced analytics: Python/R for ML, NLP, forecasting and experimentation.