Lead Data Engineer

0 years

0 Lacs

Posted:10 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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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