Data Integration Lead

Data Engineer 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