Staff Engineer, Data Engineering Solutions
$150,000–$200,000 year
On-site · Bengaluru, Karnataka, India
Job Summary
Drive the Data Engineering Solutions Team to solve high-impact data problems, building data pipelines for large-scale volume. The role requires knowledge of Data Engineering tools including Airflow, Spark, Kafka, and Flink, and emphasizes mentorship of engineers, attracting top talent, and delivering scalable, reliable data pipelines. Candidates must possess a strong engineering background, collaborative mindset, and commitment to customer focus while effectively managing projects with autonomy and responsibility.
Required Qualifications
- 10+ Years of engineering experience
- 5+ Years of hands-on experience building+operating data systems/pipelines, datasets/data warehouses
- Strong engineering background and passion for data
- Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Trino / etc)
- Effective cross-functional collaboration
- Extreme customer focus
- Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment
Desired Qualifications
- Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud, and influencing open-source contributions
- Experience creating and maintaining Data Marts / Data Warehouses to power business reporting needs
- Experience working with Product or Go-To-Market (GTM - Sales/Marketing) teams
- Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide
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