Senior Business Intelligence Data Engineer

Job Description

The Role

The Sr. Business Intelligence Data Engineer will own the full life cycle of understanding the business requirements data and designing the migration of our data from several systems to a cutting-edge Databricks environment architecting implementing and optimizing ETL/ELT processes to ensure robust secure and analytics-ready data flows for our business operations.

A successful Sr. Business Intelligence Data Engineer demonstrates customer focus a drive for results and ease with ambiguous data requests and definitions; influences change naturally accepts ownership for project deliverables explores opportunities to add value to job responsibilities and continues to develop critical skills and technical expertise. Projects will span across all time horizons from early in Vehicle development process through end of production and often require integration of data across multiple functions including Engineering Program Management Planning Forecasting Sales and Manufacturing.

What Youll Do

• Collaborate with stakeholders including data analysts data scientists architects and business teams to ensure data solutions meet organizational requirements and compliance standards.
• Design develop and maintain data pipelines to transfer data from various databases to Databricks leveraging both batch and real-time methodologies as appropriate.
• Lead the overall ETL/ELT architecture including extraction transformation and data loading strategies ensuring scalability performance and data integrity. Optimize and tune ETL/ELT processes for large-scale and real-time data movement ensuring resource efficiency. Ensure data security quality and compliance across the whole process.
• Model integrate and optimize data structures in the Databricks platform taking into account data lakes data warehousing needs and analytics workloads.
• Automate and monitor data workflows for reliability transparency and fault tolerance throughout the migration and beyond. Document data flows transformation logic and technical specifications for all data integration processes enabling maintainability and smooth knowledge transfer.

Your Skills & Abilities (Required Qualifications)

• Bachelors Degree in Computer Science Data Analytics Engineering Operations Managementor related field
• 5 years of experience in data engineering or related roles with demonstrated expertise in database migrations and ETL/ELT process design.
• Deep hands-on experience with databases Oracle SQL Server MySQL Teradata Snowflake
• In-depth knowledge of Databricks (including PySpark Databricks SQL and Lakehouse architectures).
• Expertise in ETL/ELT tools and frameworks (e.g. Informatica Talend Databricks Workflows or custom pipelines).
• Proven ability to design and implement scalable efficient data pipelines and to optimize complex transformations in modern cloud environments.
• Demonstrated experience in data modeling and integration for analytics and BI use cases.
• Excellent communication and documentation skills for cross-functional collaboration and process transparency.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Masters degree in Computer Science Software Engineering or related field
• Knowledge of data governance metadata management or data quality/observability
• Familiarity with schema design and data contracts
• Experience handling various file formats (video audio image)
• Experience with Databricks Snowflake or similar platforms
• Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files external suppliers supplier chain systems)

About GM

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Why Join Us

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Benefits Overview

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