Remote: Hybrid

Role : Data Engineering Lead / ManagerExperience: 8–12 YearsMode of work : HybridWe 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 (~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 optimization3. 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● Strong debugging and performance optimization skillsLeadership & 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).Role Success Indicators ● Reliable 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.

📌 Senior Data Engineer (Bengaluru)
🏢 Zemoso Technologies
📍 Bengaluru