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hackajob is seeking a data engineer to build a CIB-wide Marketing and Events Data Platform and enable large-scale processing on internal and public clouds.
You will focus on data acquisition and ETL transformations on AWS or Databricks, ensuring data quality and consistency across systems.
This on-site Jersey City role leverages Python, Java, Spark, Kafka, SQL, and NoSQL technologies in a fast-paced environment.
The role involves building a CIB wide Marketing and Events Data Platform and implementing large-scale processing on internal and public clouds. Key tasks include acquiring data, transforming ETL logic on AWS or Databricks, and ensuring data quality and consistency.
Candidates should have 3+ years of Python experience, 2+ years of Java, and experience with Big Data technologies like Spark and Kafka. Strong skills in SQL, Unix shell scripting, and relational databases are required.
Python, Java, Databricks, AWS, Spark, Kafka, SQL, Unix Shell Scripting, ETL, Big Data, Agile, Object Oriented Programming, Data Quality Testing, Oracle, SQL Server, NoSQL