Senior Data Engineer

Zemoso Technologies; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Zemoso Technologies in Bengaluru is seeking a Data Engineering Manager to lead and execute data initiatives, blending technical leadership with hands-on data engineering delivery.

You will manage a team of 8-10 engineers, guide ETL/ELT pipeline development, ensure data quality and performance, and collaborate with product and stakeholder teams to drive scalable data platforms across SAP and other sources.

Qualifications

• Lead and manage a data engineering team of 8-10 engineers.
• Deliver data pipelines and resolve data issues with a hands-on approach (~30-50%).
• Strong SQL, data analysis, and data modeling fundamentals.
• Experience with enterprise data flows and SAP or similar systems.
• Knowledge of data warehousing concepts and performance optimization.

Responsibilities

• 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 with engineering and product stakeholders.
• Remove delivery blockers and ensure timely milestone completion.
• Provide technical mentorship and hands-on contribution to data pipelines.

Skills

SQL analysis

ETL pipelines

Data warehousing

Data modeling

Leadership

Agile delivery

Stakeholder mgmt

Education

Bachelors/Masters in CS or Eng

Tools

SAP

Databricks

Job description

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.
• Contribute directly to development of data pipelines and data workflows (~30-50% 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
• 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:
  • Postgres SQL or similar RDBMS
• Experience working with enterprise data flows (SAP or similar systems)
• Data warehousing and data modeling fundamentals
• Strong 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.
• Scrum/agile exposure (certification not mandatory).

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.

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.