Data Engineering Manager

Job Title:

Experience:

Location:

Key Responsibilities

• Lead and manage end-to-end data engineering projects, ensuring scalable and high-performance solutions.
• Drive

  solution design and architectural design

  for large-scale data platforms.
• Oversee development and implementation of robust data pipelines using

  Python, SQL, and PySpark

  .
• Manage and mentor a team of data engineers, providing technical guidance and career development support.
• Work closely with stakeholders to translate business requirements into data solutions.
• Ensure best practices for

  data quality, governance, and security

  across all projects.
• Collaborate with cross-functional teams (Data Science, BI, Cloud, Product) to deliver impactful solutions.

Key Skills

• Strong expertise in

  Data Engineering

  and

  Architectural Design

  .
• Proven experience in

  solution design

  for enterprise-level data platforms.
• Hands-on skills in

  AWS cloud services

  for data engineering.
• Proficiency in

  Python, SQL, and PySpark

  .
• Solid experience in

  team management

  and leading high-performing engineering teams.
• Experience in building large-scale, distributed data processing systems.
• Excellent problem-solving, leadership, and communication skills.

Preferred Qualifications

• Bachelors/Master’s degree in Computer Science, Engineering, or related field.
• Experience in handling multi-terabyte data environments.
• Exposure to modern data tools and frameworks (Databricks, Kafka, Airflow, etc.) is a plus.