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Senior Data Engineer (Snowflake)

Senior Data Engineer (Snowflake)

Agivant Technologies IndiaBangor Township, Michigan, United States
30+ days ago
Job type
  • Full-time
Job description

Agivant  is seeking a talented and passionate

Senior Data Engineer to join our growing data team. In this role, you will play

a key part in building and scaling our data infrastructure, enabling

data-driven decision-making across the organization. You will be responsible

for designing, developing, and maintaining efficient and reliable data

pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform,

Load) processes.

Responsibilities :
  • Design,
  • develop, and maintain robust and scalable data pipelines for ELT and ETL

    processes, ensuring data accuracy, completeness, and timeliness.

    • Work
    • with stakeholders to understand data requirements and translate them into

      efficient data models and pipelines.

    • Build
    • and optimize data pipelines using a variety of technologies, including

      Elastic Search, AWS S3, Snowflake, and NFS.

    • Develop
    • and maintain data warehouse schemas and ETL / ELT processes to support

      business intelligence and analytics needs.

    • Implement
    • data quality checks and monitoring to ensure data integrity and identify

      potential issues.

    • Collaborate
    • with data scientists and analysts to ensure data accessibility and

      usability for various analytical purposes.

    • Stay
    • current with industry best practices, CI / CD / DevSecFinOps, Scrum and

      emerging technologies in data engineering.

    • Contribute
    • to the development and enhancement of our data warehouse architecture

      Requirements

      Mandatory :
    • Bachelor's
    • degree in Computer Science, Engineering, or a related field.

    • Fresher or OPT Data Engineering candidate who has strong focus on ELT / ETL
    • processes

    • Experience in Snowflake data warehousing technologies.
    • Experience in creating and maintaining Airflow ETL pipelines.
    • Experience with Python languages for data
    • manipulation and automation.

    • Working
    • experience with Elastic Search and its application in data pipelines.

    • Proficiency
    • in SQL and experience with data modelling techniques.

    • Strong
    • understanding of cloud-based data storage solutions such as AWS S3.

    • Experience
    • working with NFS and other file storage systems.

    • Excellent
    • problem-solving and analytical skills.

    • Strong
    • communication and collaboration skills.

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    Senior Data Engineer • Bangor Township, Michigan, United States

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