Senior Data Engineer(AWS,DynamoDB,ECS, EMR,PySpark)- Immediate Joiners
Posted Updated
Summary
Senior data engineer (10-20 yrs, immediate joiners) designing and building scalable, low-latency data lakehouse architectures on AWS, working daily with EMR, ECS, PySpark/Spark, DynamoDB, Glue, Step Functions, Lambda, and Apache Iceberg alongside PostgreSQL and Redshift. Onsite roles in Kochi, Bengaluru, or Thiruvananthapuram.
AWS EMR
AWS ECS
Step Functions
Apache Spark
PostgreSQL
DynamoDB
Glue
Apache Iceberg
Proficiency in Python and Spark programming.
Experience building highly scalable, low-latency data systems (e.g., DynamoDB, Aurora,
PostgreSQL, Redshift).
AWS ECS
Step Functions
Apache Spark
PostgreSQL
DynamoDB
Glue
Apache Iceberg
Proficiency in Python and Spark programming.
Experience building highly scalable, low-latency data systems (e.g., DynamoDB, Aurora,
PostgreSQL, Redshift).
Required Candidate profile
Proven experience designing and implementing data lakehouse architectures on AWS.Hands-on experience with AWS services such as Step Functions, Lambda, and EventBridge.Experience in Agile development .