Lead GCP Data Engineer

Job Summary: We are seeking a highly skilled Lead GCP Data Engineer to design, build, and optimize large-scale data pipelines and solutions on the Google Cloud Platform. The ideal candidate will bring extensive experience in ETL development, Python programming, and cloud-based architectures, with a proven ability to lead development teams and deliver high-quality, scalable solutions. Experience Required: 10+ years in software development (including at least 2 years in a senior/lead role) Key Responsibilities: • Lead the design, development, and deployment of data pipelines, ETL workflows, and data integration solutions on GCP. • Architect efficient, secure, and cost-effective data storage and processing systems. • Collaborate with data scientists, analysts, and stakeholders to define data requirements and implement solutions. • Implement data quality, governance, and performance optimization best practices. • Mentor and guide junior engineers, providing technical leadership and code reviews. • Troubleshoot and resolve complex data engineering and pipeline issues. • Stay current with emerging technologies, tools, and best practices in data engineering and GCP services. Required Skills & Qualifications: • 10+ years of professional software development experience, with at least 2 years in a senior or lead role. • Strong proficiency in Python for data engineering tasks. • Hands-on experience with Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer. • Proven expertise in building and maintaining ETL pipelines for large datasets. • Strong SQL skills and experience with relational and NoSQL databases. • Knowledge of data modeling, schema design, and data warehousing concepts. • Familiarity with CI/CD pipelines, Git, and DevOps practices for data engineering. • Excellent problem-solving, communication, and leadership skills.