Description

You will build and optimize data pipelines to move large datasets from diverse sources into the ecosystem.

This role is on-site.

Responsibilities

• Develop, maintain, and optimize ETL/ELT pipelines to extract, transform, and load large datasets.
• Design and implement scalable data models that ensure integrity and performance.
• Collaborate with data scientists, analysts, and software engineers to integrate data solutions into larger systems.
• Identify and resolve data quality issues to maintain infrastructure reliability and consistency.
• Monitor and automate data processes to improve pipeline efficiency.

Required Skills

• 5+ years of hands-on experience in data engineering and complex data modeling.
• Expertise in SQL and relational databases including PostgreSQL, MySQL, and DB2.
• Proficiency with ETL/ELT frameworks such as Informatica and Apache Spark.
• Experience with data warehousing and cloud-based platforms including Snowflake, AWS, Google Cloud, or Azure.
• Working knowledge of data modeling techniques and tools.
• Experience with version control systems like Git and agile methodologies.

Preferred Skills

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

Key Skills

Education

Bachelor's degree