Location: Bengaluru, Karnataka, India
Department: Data
Are you ready to take your career to the next level? Join Skillz, the first publicly-traded mobile esports platform that hosts billions of casual mobile gaming tournaments for millions of players worldwide. Skillz is revolutionizing the gaming industry, providing the ultimate platform for competitive mobile games. By fostering social competition within games, Skillz empowers developers to create multi-million dollar franchises while connecting players through fair, enjoyable, and meaningful competition.
At Skillz, we firmly believe that everyone is born with unique skills and deserves to experience an epic win. We understand the thrill of achievement and the satisfaction of overcoming challenges. That's why we passionately champion game developers and players alike, empowering them to unleash their full potential through the power of competition.
The gaming industry is larger than movies, music, and books combined, with over 3 billion active gamers playing monthly and over 25 million active developers worldwide. Mobile gaming, in particular, is the fastest-growing segment, projected to reach $300 billion by 2025. At Skillz, you have the opportunity to be at the forefront of this exciting industry and shape its future.
Own the assigned ETLs in the inherited BI estate: their schedules, their Snowflake cost and the governed deployment path that replaces manual deployment.
Implement BI and accounting work in the data lake from Analytics specifications through the five-step process, starting with roll-up tables and transaction verification.
Handle the data engineering side of audit and SOX requests: Snowflake and Airflow user lists, quarterly attestation evidence, finance table changes.
Release and support owned pipelines end to end, including on-call, with no dependency on US-based teams.
Strong proficiency in SQL and Python
Hands-on production experience with Data warehouses (eg: Snowflake)
Built out ETL and ELT pipelines using tools like Debezium, DMS, Streamsets, or DBT
Experience with job orchestration tools such as Airflow and Jenkins
Data stream processing with tools such as Kafka, Spark, or Flink
Off hours on-call experience
Experience with recognized industry patterns, methodologies, and techniques
Extra Credit:
Strong Java experience
Built out segmentation platforms
Supported Business Intelligence, Finance or User Acquisition functions
ML experience
BA/BS in Computer Science or related technical field, or equivalent practical experience
3+ years Data Engineering experience
Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance
From live job posts on CoreHRx, updated 21 Oct 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.