Data Engineering Manager

Role Title

Data Engineering Manager

Experience

812 Years

Location

Mumbai/Pune/Bangalore/Hyderabad/Chennai - Hybrid

Role Overview

We are looking for a Data Engineering Manager to lead and drive execution for data engineering initiatives.

This role combines technical leadership, delivery ownership, and hands-on data engineering expertise.

The ideal candidate will manage a team of data engineers while actively contributing to data platform development, ensuring successful execution of data pipelines, release deliverables, and stakeholder expectations.

This role bridges engineering leadership and hands-on data execution, enabling scalable and reliable data solutions.

Key Responsibilities:

1. Team Leadership & Delivery Execution

- Lead and manage a team of 8-10 data engineers.
- Drive sprint execution, planning, and delivery tracking aligned with program release cycles.
- Coordinate cross-functional execution across engineering and product stakeholders.
- Remove delivery blockers and ensure timely completion of milestones.
- Provide technical mentorship and guidance to engineers.

2. Hands-on Data Engineering

- Contribute directly to development of data pipelines and data workflows (~3050% hands-on).
- Perform data analysis and SQL-based problem solving.
- Design and optimize ETL/ELT pipelines.
- Work with structured and enterprise data sources including SAP systems.
- Support troubleshooting and performance optimization.

3. Data Platform & Engineering Ownership

- Oversee development and maintenance of scalable data pipelines.
- Ensure adherence to data engineering best practices and coding standards.
- Maintain data quality, reliability,



and operational stability.
- Support data migration and integration initiatives.

4. Stakeholder & Program Collaboration

- Act as the technical interface between engineering teams and program stakeholders.
- Translate business requirements into executable technical tasks.
- Support program release planning and execution readiness.
- Communicate progress, risks, and technical decisions effectively.

Required Technical Skills

- Strong expertise in SQL and data analysis
- Experience building and managing ETL pipelines
- Hands-on experience with:

- PySpark
- Postgres SQL or similar RDBMS
- Azure cloud ecosystem (or equivalent cloud platforms)
- Experience working with enterprise data flows (SAP or similar systems)
- Data warehousing and data modeling fundamentals
- Solid debugging and performance optimization skills

Leadership & Functional Skills

- Experience leading or mentoring engineering teams.
- Ability to manage delivery execution in agile environments.
- Strong stakeholder management and communication skills.
- Experience coordinating across distributed teams.

Preferred Qualifications

- Experience leading data transformation or migration initiatives.
- Exposure to Databricks or modern lakehouse architectures.
- Prior experience in enterprise-scale data programs.
- Scrum/agile exposure (certification not mandatory).

Education Bachelors or Master’s degree in Computer Science, Engineering, or related field.

Role Success Indicators

- Stable and predictable delivery of data initiatives.
- Effective management of data engineering team execution.
- High-quality, scalable data pipelines.
- Strong collaboration between technical and program teams.

📌 Data Engineer Manager | Hyderabad , Chennai, Pune, Bangalore & Mumbai (Bengaluru)
🏢 Zemoso Technologies
📍 Bengaluru