- Understanding of mainframe copybook, data storage
- Experience in kubernetes, docker
- Experience in python and pyspark
- Kafka, streaming
- Shell script
- 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.
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Senior Data Engineer - Alpharetta, United States - Motion Recruitment
Description
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
This role involves:
This role involves:
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.