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About the Role

The position is responsible for designing, developing, and maintaining data pipelines and infrastructure. This role implements data integration, processing, and analytics solutions while collaborating with cross-functional teams to deliver efficient and scalable data systems.

Responsibilities

• Design, develop, and maintain data pipelines for efficient data processing and integration.
• Implement and optimize ETL processes to extract, transform, and load data from various sources.
• Enhance data flows and storage solutions for improved performance.
• Design and implement data warehouse structures.
• Ensure data quality and consistency within the data warehouse.
• Apply data modeling techniques for efficient data storage and retrieval.
• Implement data governance policies and procedures.
• Maintain data quality standards and documentation.
• Ensure compliance with relevant data regulations and standards.
• Implement data security measures and access controls.
• Maintain data protection protocols.
• Collaborate with data scientists, analysts, and other teams to understand and meet data requirements.
• Participate in cross-functional projects to support data-driven initiatives.

Requirements

• Bachelor's Degree and 2 years' experience OR High School Diploma or GED/Equivalent and 6 years' experience in Data engineering, database management, or related field.
• Experience with cloud-based data platforms and big data technologies.

Skills

• SQL and database management
• ETL processes and tools (e.g., DBTran, IICS, DataStage, SSIS, Apache Spark, Airflow)
• Big data technologies (e.g., Snowflake, Hadoop, Spark)
• Programming languages (e.g., Python, Java)
• Data modeling and architecture
• Cloud platforms (e.g., AWS, Azure, GCP)

Education Level

• Bachelor's Degree
• High School Diploma or GED/Equivalent
• Computer Science
• Information Systems
• Data Science

Benefits

• Competitive, thoughtfully designed and quality benefits program to meet the needs of our associates.