Zemoso is a unique services organization that specializes in early-stage initiatives and solves tough technology problems. We partner with startups, Fortune 500 companies, and mid-sized organizations on digital transformation, business model transformation, and new product development initiatives. We bring an expert understanding of how a focus on usability works with mature engineering practices to deliver the best outcomes for our customers. Every member of our team showcases accountability and ownership.
As a services organization, our people are our strongest asset. Therefore, we are committed to their career progression. Our Talent Nurture team organizes bootcamps, provides external resources, and hosts tailored workshops. We work on the most cutting-edge solutions, ensuring that our people stay up-to-date with the latest processes, technologies, and tools.
Location
Bengaluru, Karnataka, India (Hybrid)
Responsibilities
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.
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 optimization.
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.
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 skills and qualifications
Experience: 8–12 Years (Data Engineering Lead / Manager)
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Strong expertise in SQL and data analysis
Experience building and managing ETL pipelines
Hands-on experience with PySpark
Hands-on experience with Postgres SQL or similar RDBMS
Hands-on experience with 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 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.
Good to have
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).
