Description

You will lead the design, implementation, and management of data integration frameworks and large-scale ETL/ELT solutions.

Responsibilities

• Lead the design, configuration, and monitoring of the Data Integration Framework.
• Develop and maintain infrastructure systems including data warehouses, data lakes, and data access APIs.
• Design and model data warehouse solutions using dimensional modeling, de-normalized structures, and OLAP concepts.
• Oversee the delivery of engineering data initiatives and create frameworks for structured and unstructured data collection.
• Enforce best practices for data auditing, scalability, reliability, and application performance.

Required Skills

• 8+ years of experience leading data engineering and cross-functional teams to implement scalable ETL/ELT solutions.
• Expertise in Ab Initio ETL design and development.
• Proficiency in Python, SQL, and NoSQL.
• Hands-on experience with relational database layout, development, and data modeling.
• Expert knowledge of data exchange formats and data movement concepts.
• Experience preparing and manipulating data using Hadoop or equivalent MapReduce platforms.
• Bachelor's Degree in Computer Science, Information Technology, or Engineering.

Preferred Skills

• Expert data integration experience on Cloudera platforms.
• Experience with AWS cloud environments and MongoDB.

Key Skills

Education

Bachelor's Degree; Computer Science, Information Technology