Software Engineer GM Energy

Job Description

The Role

GM Energy is a subsidiary of General Motors that provides home energy management products and services related to GM electric vehicles (EVs). The GM Energy Data Platform known as the GM Energy Cloud (GMEC) serves as the central backend service . This domain encompasses IoT integrations with GM Energy products installed at customer locations and utility companies. Additionally GMEC integrates with EV telemetry data to support GM Energys smart charging and home energy management initiatives.

The GM Energy Data Engineering team is on the lookout for a talented Senior Software Engineer who is a highly skilled and hands-on Cloud Data Warehouse engineer with experience in IoT data integration Snowflake Databricks and Apache Spark. The selected candidate will play a pivotal role in designing implementing and optimizing scalable cloud-based data warehouse solutions including an Operational Data Store (ODS) to serve as a speed layer for advanced analytics and business intelligence initiatives.

What Youll Do

• Develop cloud data warehouse solutions leveraging Databricks and Kubernetes.

• Implement robust data pipelines to ingest process and store IoT data from diverse sources.

• Integrate and manage large-scale datasets using Apache Iceberg for efficient reliable and scalable data lake operations.

• Build an Operational Data Store (ODS) to function as a speed layer enabling rapid access for near real-time use Cases.

• Collaborate with data engineers analysts and business stakeholders to understand requirements and deliver scalable solutions.

• Optimize data models storage and compute resources for performance and cost efficiency.

• Ensure data quality security and compliance across all cloud data platforms.

• Setting up monitoring tools and dashboards to track pipeline health diagnose issues and optimize performance.

• Stay current with industry trends and best practices in data management ODS technologies and API development.

Your Skills & Abilities (Required Qualifications)

• Bachelors in software engineering Computer Science Information Technology or a related field or equivalent experience.

• Minimum 4 years experience designing developing and supporting enterprise applications.

• Proven in implementing cloud data warehouses using Databricks or any other data platform.

• Hands-on experience with Apache Spark and/or Apache Flink for data lake pipelines.

• Experience designing and building Operational Data Stores (ODS) as speed layers for analytic environments.

• Experience with IoT data ingestion processing and analytics.

• Strong proficiency in SQL Python Java and ETL tools.

• Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred AWS GCP).

• Experienced in proactive issue detection leveraging anomaly detection techniques with a strong focus on monitoring pipeline performance ensuring system reliability and identifying bottlenecks through observability metrics.

• Good understanding and experience with CI/CD practices.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience with Databricks platform and Databricks certifications.

• Experience with real-time data streaming technologies (e.g. Kafka Spark Streaming Flink).

• Knowledge of data governance and security best practices.

• OCPP Protocol expertise

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

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