Principal Data Engineer

2 days ago


Bengaluru, Karnataka, India Kwalee Full time

Join the team
As we continue to grow, we are now looking for a
Principal Data Engineer
to join our Data Engineering team.

As a Principal Data Engineer, you will be responsible for designing, developing, and maintaining Kwalee's core data systems — including data pipelines, data warehouses, and data lakes. You'll ensure data is accessible, reliable, and cost-effective, enabling teams across the business to make smarter, data-driven decisions.

This is a permanent role based in our
Bangalore studio
, where our daily in-office collaboration fuels innovation and technical excellence.

Responsibilities

  • Design, develop, test, and maintain data systems including pipelines, warehouses, and data lakes.
  • Lead and support the development of new data-dependent applications and business intelligence dashboards.
  • Contribute to the design and architecture of data-driven software projects.
  • Collaborate with software engineering and product teams to build scalable, reliable data infrastructure.
  • Develop pipelines that deliver high-quality data efficiently to teams and applications across Kwalee.
  • Manage and optimise data warehouse performance, cost, and user security.
  • Ensure the scalability and performance of Kwalee's data infrastructure as the business grows.
  • Mentor and guide other engineers, promoting best practices and high technical standards.
  • Perform other ad-hoc tasks as required by the line manager.

Requirements

  • 8+ years of experience in data engineering with a strong track record in production-grade systems.
  • Expertise in SQL and Python, with experience automating data pipelines using tools such as dbt and Airflow.
  • Strong knowledge of data lakehouse architecture (e.g. Databricks, Redshift, Snowflake, BigQuery).
  • Experience with cloud services (e.g. AWS) and their configuration.
  • Proven experience designing and documenting data architectures, ETL/ELT processes, and ensuring performance, security, and lineage.
  • Familiarity with data engineering best practices such as CI/CD, testing, and metadata management.
  • Experience in leading technical delivery and mentoring team members.
  • Excellent communication, collaboration, and problem-solving skills.
  • Based in our Bangalore office for 5 days per week.

Why Kwalee?

We believe in more than just a job—we're committed to helping you thrive with a fantastic work-life balance and a range of great benefits

With group health insurance and 20 annual leave days, you'll have plenty of time to recharge. Stay energised throughout the day with unlimited snacks and drinks, and enjoy access to a discounted premium gym membership to keep you feeling your best.

You'll work with cutting-edge equipment in an environment designed for your success, with clear career progression and endless opportunities for growth. To keep things lively, we host seasonal events, regular town halls, and share exclusive Kwalee merch—making sure there's always something exciting to look forward to

Our Commitment to Diversity & Inclusion

At Kwalee, we take pride in being an equal opportunity employer, where we believe that diversity and inclusion are essential to driving creativity. We are committed to creating a safe, welcoming, and supportive environment where everyone can thrive.

Our culture is built on celebrating the diverse voices of our team members, fueling innovation and strengthening our connection to our players. We are dedicated to advancing equity, diversity, and inclusion across all areas of life, including age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation.

We recognise the importance of self-development, career progression, and well-being in retaining our talented team. At Kwalee, we celebrate individuality and encourage everyone to bring their authentic selves to work.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.



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