Senior Data Engineer

This role is ideal for a seasoned Data Engineering professional who can combine strong technical expertise with leadership to drive enterprise-wide data transformation initiatives.

Senior Data Engineer

Experience: 10+ Years

Location: Remote (Pune)

Job Summary

We are looking for an experienced Senior Data Engineer to lead and drive enterprise-scale data engineering initiatives. The ideal candidate will have strong expertise in designing and implementing modern data platforms, data warehouses, and data lakes using AWS technologies. This role requires hands-on technical expertise along with leadership capabilities to manage end-to-end data programs, ensure data governance, and collaborate with cross-functional teams to deliver scalable and reliable data solutions.

Key Responsibilities

• Lead the design, development, and implementation of enterprise data engineering and data management projects.
• Design and build scalable data warehouses and data lake solutions on AWS.
• Develop and optimize ETL/ELT pipelines using PySpark, Apache Airflow, and SQL.
• Implement and maintain metadata management and data governance frameworks to ensure data quality, security, and compliance.
• Build and optimize big data processing pipelines for high-volume and complex datasets.
• Collaborate with business stakeholders, architects, and engineering teams to understand data requirements and deliver effective solutions.
• Drive the overall data program, ensuring timely delivery, technical excellence, and adherence to best practices.
• Mentor junior team members and provide technical leadership across the data engineering team.

Required Skills

• 10+ years of experience in Data Engineering and Data Management.
• Strong expertise in Data Warehousing and Data Lake architecture.
• Hands-on experience with AWS cloud services.
• Strong experience with Apache Airflow, PySpark, and SQL.
• Experience with Metadata Management tools and practices.
• Strong background in Big Data technologies and enterprise-scale implementations.
• Mandatory experience in Data Governance frameworks and best practices.
• Excellent communication, stakeholder management, and leadership skills.
• Proven ability to lead enterprise data initiatives and drive cross-functional collaboration.

Preferred Qualifications

• Experience with modern cloud-native data architectures.
• AWS certifications are a plus.
• Experience working in global or distributed teams is preferred.