Data Engineer Senior

Symbol Technologies India Private Limited; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Hybrid work

Flexible hours

Summer Flex Fridays

Focus Fridays

Well-being day

Job summary

Zebra Technologies is seeking a Senior Data Engineer to lead and hands-on build production-grade data pipelines. You will guide architectural decisions, mentor engineers, and stay current with Databricks and Google BigQuery capabilities to deliver scalable data solutions.

The role emphasizes ownership of data models and cross-functional collaboration, with a focus on performance, cost efficiency, and governance in a hybrid work environment.

Qualifications

• 7-10 years of experience in data engineering, with end-to-end production pipelines.
• Proven experience leading a team on technical matters including architecture decisions and mentorship.
• Hands-on experience with Databricks and Google BigQuery, and knowledge of modern data tooling.

Responsibilities

• Lead the technical direction of the data engineering team, setting standards and reviewing work for quality and scalability.
• Design, build, and maintain scalable data pipelines from diverse source systems.
• Work extensively with Databricks platform and Google BigQuery, leveraging latest features to improve design and performance.
• Build and optimize data models (facts/dimensions) for analytics readiness.
• Collaborate with analytics, data science, and business stakeholders to translate requirements into robust data solutions.

Skills

Python

SQL

Git

Data modeling

Team leadership

Mentorship

Agile/Scrum

Communication

Education

Bachelor’s degree in CS/Engineering

Databricks Certified Data Engineer

Google Cloud Professional Data Engineer

Tools

Databricks

BigQuery

Airflow

dbt

Unity Catalog

Collibra

Job description

Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally. Come make an impact every day at Zebra.

What We're Looking For:

We are seeking a Senior Data Engineer to lead the technical direction of our data engineering practice while remaining deeply hands‑on. This is a role for someone who has built and owned production data pipelines end‑to‑end, thrives on solving complex data architecture problems, and brings the leadership presence to guide and grow a team of engineers. We're looking for someone with a strong technical foundation, a positive and collaborative attitude, and a genuine curiosity to learn and adopt new technologies as the data landscape evolves - including staying current with the latest capabilities on both Databricks and Google BigQuery.

What You'll Do:

• Lead the technical direction of the data engineering team - setting standards, guiding design decisions, and reviewing the team's work for quality and scalability
• Design, build, and maintain new, scalable data pipelines to onboard and integrate data from a wide variety of source systems
• Work extensively within the Databricks platform, applying strong command of the medallion architecture (bronze, silver, gold layers) to build and evolve reliable, well‑structured pipelines
• Stay current with new Databricks capabilities (e.g., Unity Catalog, Delta Lake features, Delta Live Tables, Databricks SQL, workflow/orchestration updates) and proactively apply them to improve pipeline design, governance, and performance
• Design and build new data models grounded in solid data fundamentals, including fact and dimension modeling
• Own and optimize workloads in Google BigQuery, staying current with new BigQuery features (e.g., BQML, materialized views, storage/compute optimizations, new SQL capabilities) and applying them to improve performance, cost efficiency, and scalability

What You’ll Bring:

• 7-10 years of experience in data engineering, with a demonstrated track record of building and owning production‑grade pipelines end‑to‑end
• Proven experience leading a team on technical matters - architecture decisions, code reviews, and mentorship
• Strong, hands‑on experience with the Databricks platform, including practical, working knowledge of the medallion (bronze/silver/gold) architecture and demonstrated awareness of new/evolving Databricks features
• Strong, hands‑on experience with Google BigQuery, including demonstrated awareness and adoption of new BigQuery features
• Hands‑on proficiency in Python, SQL, and Git version control
• Solid grounding in data modeling fundamentals - facts, dimensions, and the ability to design new data models from the ground up
• Demonstrated ability to build pipelines across diverse and evolving source systems

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)
• Cloud certification(s) - Databricks Certified Data Engineer, Google Cloud Professional Data Engineer, or equivalent
• Experience with orchestration/workflow tools (Airflow, Databricks Workflows, dbt)
• Experience with CI/CD for data pipelines (Git‑based deployment, testing frameworks for data)
• Exposure to streaming/near‑real‑time pipelines (Kafka, Pub/Sub, Structured Streaming)
• Experience with data governance, cataloging, and lineage tools (Unity Catalog, Collibra, etc.)
• Experience working in Agile/Scrum delivery environments
• Prior experience as a technical lead, team lead, or engineering manager (even informally)

What Makes You a Great Fit:

• A natural technical leader with a collaborative, can‑do attitude
• Genuinely curious, with a strong appetite for learning and adopting new technologies as they emerge - on both Databricks and BigQuery, and the wider data ecosystem
• An ownership mindset - you see pipelines and data models through from design to production, and take pride in getting the details right
• Mentor and coach team members on technical best practices, pipeline design, and code quality
• Continuously evaluate emerging data engineering tools and technologies across the broader data ecosystem, and bring recommendations back to the team
• Partner closely with analytics, data science, and business stakeholders to translate requirements into robust, reliable data solutions

Benefits:

We understand the importance of work‑life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well‑being day to promote revitalization and success.

AI Technology Statement:

Zebra Technologies leverages AI technology to evaluate job applications using objective, job‑relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

Zebra provides the foundation for intelligent operations with an award‑winning portfolio of connected frontline, asset visibility and automation solutions. Organizations globally across retail, manufacturing, transportation, logistics, healthcare, and other industries rely on us to deliver outcomes today while driving innovation for what's next. Together with our partners, we create new ways of working that improve productivity and empower organizations to be better every day. Learn more at zebra.com.