Data Engineer (Developer III)

Job Summary :

Job consists of setting up Change Data Capture (or CDC) for multiple types of databases for the purpose of hydrating a data lake.

Debezium or other CDC knowledge required.

Along with data hydration, job requires knowledge on ETL transformations using Apache spark, both streaming and batch processing of data.

Engineer needs to know how to work with Apache Spark Data Frames, ETL jobs, and streaming data pipelines that will orchestrate raw CDC data and transform it into useable and query-able data for analytics. Big Data concepts, including performance tuning is a plus.

Skill set :

Java - Mid to Senior level experience

Python - Mid level experience (pyspark)

Apache Spark - Data Frames, Spark SQL, Spark Streaming and ETL pipelines

Apache Airflow

Scala - not required but a plus

Apache Hudi - not required, but a plus

Apache Griffin - not required, but a plus

AWS Skillset :

Extensive knowledge with S3 and S3 operations (CRUD)

EMR & EMR Serverless

Glue Data Catalog

Step Functions

MWAA (Managed Workflows Apache Airflow)

Lambdas (Python)

AWS Batch

AWS Deequ - not required, but a plus