Data Engineering Lead
ArineFull Time
Expert & Leadership (9+ years)
Candidates should possess a Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field, with a Master's degree being preferred. A minimum of 3 years of experience managing data engineering or software engineering teams and 7 years of hands-on data engineering experience are required. Proficiency in Python, SQL, and distributed data processing frameworks like PySpark is essential, along with experience in modern data platforms such as Airflow, dbt, Snowflake, Databricks, or Kafka, and cloud architecture systems like Azure, AWS, or GCP. Strong leadership, mentoring, data modeling, data warehousing, data governance, and cross-functional collaboration skills are also necessary.
The Data Engineering Manager will lead and mentor a team of data engineers, scrum leads, architects, and product managers in building scalable analytic data foundations. Responsibilities include architecting, designing, and implementing data ingestion, transformation, and orchestration workflows using modern data engineering tools and cloud-native technologies. The role involves ensuring high data quality, reliability, and availability across data processing systems, establishing best practices in data engineering, and contributing to the evolution of the data architecture and long-term strategies. Additionally, the manager will oversee on-call rotations, ensure operational excellence, system reliability, and timely incident response for production data pipelines.
Designs, manufactures, and sells vehicles
General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.