Senior Data Engineer (Snowflake)

Agivant Technologies India
Bangor, MI

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.
Posted 2025-08-27

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