Data Engineer

3 days ago


Houston, Texas, United States AMSYS Innovative Solutions Full time

We are seeking a highly skilled
Data Engineer
with deep hands-on experience in
Apache NiFi
to design, build, and optimize large-scale data integration pipelines. This role focuses on creating and maintaining
custom NiFi processors/connectors
, integrating NiFi with
Snowflake (OpenFlow)
, and supporting enterprise data ingestion and transformation workflows.

The ideal candidate is a Data Engineer who specializes in building secure, scalable, and high-performance data flows across diverse systems and cloud platforms.

Responsibilities

  • Design, develop, and maintain
    data pipelines
    using Apache NiFi, including workflows, processors, templates, and controller services.

  • Build
    custom NiFi processors/connectors
    (primarily in Java; Python is a plus).

  • Integrate NiFi pipelines with
    Snowflake
    , OpenFlow, databases, APIs, and cloud services.

  • Develop ETL/ELT processes to support structured and unstructured data ingestion.

  • Optimize pipelines for performance, throughput, reliability, and error handling.

  • Implement DataOps best practices including monitoring, automation, and CI/CD for pipeline deployment.

  • Troubleshoot data flow issues and ensure secure, compliant data movement across systems.

  • Collaborate with data engineering, analytics, and application teams on requirements and enhancements.

Required Skills

  • 3–8+ years
    as a
    Data Engineer
    or
    Data Integration Engineer
    .

  • Strong hands-on experience with
    Apache NiFi
    (flow design, processors, controller services).

  • Proven experience developing
    custom NiFi processors
    —Java is required.

  • Hands-on integration experience with
    Snowflake
    or similar cloud data warehouses.

  • Expertise in REST APIs, JSON, XML, JDBC/ODBC, and real-time/streaming ingestion patterns.

  • Solid foundation in ETL/ELT, data modeling, and pipeline orchestration.

  • Experience with AWS, Azure, or GCP cloud services (preferred).

  • Familiarity with Kafka, Spark, Airflow, or similar data engineering tools is a plus.

Nice-to-Have

  • DataOps/DevOps experience with CI/CD pipelines.

  • Performance tuning for high-volume NiFi environments.

  • Prior experience in enterprise or regulated environments.


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