Lead Data Engineer
Expert Technology Services
Job Summary (Lead Data Engineer) Lead the design, development, and deployment of large-scale data engineering solutions. Provide technical leadership and guidance to data engineering teams. Architect, build, and maintain enterprise-level ETL/ELT pipelines using Python and Google Cloud Platform (GCP) tools. Ensure high performance and scalability of data processing workflows with BigQuery, Dataflow, Dataproc/PySpark, Cloud Composer (Airflow), Pub/Sub, and Cloud Storage. Develop and optimize complex SQL queries and data models to support business analytics and data science. Collaborate with stakeholders to translate business requirements into robust data solutions. Implement CI/CD, DevOps practices, and automated deployment frameworks for data engineering projects. Drive initiatives independently from concept through to production, ensuring best practices in coding, testing, and deployment. Support data governance, data quality, and compliance requirements as needed. Stay current with emerging technologies, especially in cloud data engineering and AI/ML enablement. (Preferred) Leverage experience with Snowflake, Databricks, lakehouse architectures, and feature engineering pipelines. (Preferred) Contribute to Agile processes within large enterprise environments. #J-18808-Ljbffr
Vacancy posted 17 hours ago
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