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