Description

You will own the design and optimization of data pipelines moving large datasets across the ecosystem.

This role is on-site.

Responsibilities

  • Develop and maintain ETL/ELT pipelines to extract and load data from diverse sources.
  • Design scalable data models ensuring data integrity and performance.
  • Collaborate with data scientists, analysts, and software engineers to integrate data solutions.
  • Monitor pipelines to identify automation opportunities and resolve data quality issues.

Required Skills

  • 5+ years of hands-on experience in data engineering and complex data modeling.
  • Expertise in SQL and relational databases including PostgreSQL and MySQL.
  • Proficiency in designing data pipelines using Apache Spark, Airflow, AWS Glue, or Informatica.
  • Strong knowledge of data warehousing and data modeling techniques.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience with Snowflake and cloud-based data services.
  • Proficiency with Git and agile software development methodologies.

Preferred Skills

  • Experience with JAVA 8, REST APIs, Spring Boot, and microservices.
  • UNIX scripting.

Key Skills
Education

Any graduate

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