Senior Data Engineer

4 weeks ago


Alpharetta, United States Motion Recruitment Full time

Global FinTech giant is seeking a Senior Software Engineer/Python developer for a 12+ month long-term contract opportunity in Atlanta, GA./HYBRID -2 days onsite/LOCAL CANDIDATES ONLY/W2 CANDIDATES ONLY-No visa transfers or Sponsorships offered at this time


You will be responsible for overseeing Application systems, architecture, design, data workflow, logical processes, and system interfaces.


Required Skills & Experience

  • Understanding of mainframe copybook, data storage
  • Experience in kubernetes, docker
  • Experience in python and pyspark
  • Kafka, streaming
  • Shell script


This role involves:


This role involves:

  • Understanding Mainframe Copy Books: Familiarity with mainframe copy books for data deserialization and ingestion.
  • Experience in Python and PySpark: Required for data processing and streaming applications, especially for integrating with Kafka and AWS services.
  • Containerization in Docker: Knowledge of Docker for containerizing data lakes and big data applications, especially in cloud environments like AWS.
  • Data Ingestion with Mainframe: Understanding of how to ingest data from mainframe systems into modern data pipelines.
  • Real-time Streaming with Kafka: Experience in streaming real-time data from mainframe systems using Kafka, enabling other applications to consume the data.
  • Hands-on Architecture: Ability to design and implement solutions, with a focus on practical implementation.
  • Storage and Computing in AWS: Proficiency in utilizing AWS services for storage and computing needs, including data lake formation.
  • Proof of Concepts (POCs) in Java: Involvement in developing POCs using Java for cloud-based data processing.
  • Hybrid Work Environment: Comfortable with a hybrid work setup, spending some time onsite and some time working remotely.


In summary, this role requires a blend of technical skills in Python, PySpark, Docker, Kafka, AWS, and Java, along with the ability to design and implement data solutions that involve mainframe systems, real-time streaming, and cloud environments.


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