Lead Data Engineer
20 hours ago
Job Description: Lead Data Engineer Job Description
Role Overview:
We are looking for a skilled Lead Data Engineer to design, build, and manage scalable data pipelines and architectures. You will lead a team of data engineers, collaborate with cross-functional stakeholders, and drive best practices in data engineering to support data-driven decision-making.
Key Responsibilities:
- Lead the design, development, and deployment of robust data pipelines and ETL/ELT processes.
- Architect scalable, secure, and high-performance data platforms on cloud/on-prem environments (AWS, GCP, Azure).
- Mentor and guide a team of data engineers, providing technical leadership and fostering collaboration.
- Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions.
- Optimize data workflows for performance, cost, and reliability.
- Implement data governance, quality, and security standards.
- Monitor and troubleshoot data infrastructure issues, ensuring high availability.
- Stay updated with emerging data technologies and recommend adoption as appropriate.
Qualifications:
- Proven experience in data engineering with strong hands-on skills in ETL, data warehousing, and big data technologies.
- Expertise in SQL, Python, Spark, and cloud data services (e.g., AWS Glue, BigQuery, Snowflake).
- Experience leading and mentoring data engineering teams.
- Familiarity with data modeling, pipeline orchestration (Airflow, Control-M), and data governance frameworks.
- Strong problem-solving, communication, and stakeholder management skills.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
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