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Jobs or company...

Data Engineer

Salary undisclosed
Checking job availability...
Original
Simplified
Description:

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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