Senior Databricks Engineer - Join our growing community
Xenon7
- Hyderabad, Telangana
- Contract
- Full-time
- Technical Assessment – 2-step technical assessment process that includes an interactive problem-solving test, and a verbal interview about your skills and experience
- Matching you to Opportunity – We explore how your skills align with ongoing projects and innovation tracks
- 6+ years of experience as a Data Engineer, with at least 4 years hands-on with Databricks in production environments
- Proficient in PySpark and SQL for large-scale data processing
- Deep understanding of Delta Lake features: ACID transactions, schema enforcement, time travel, and vacuuming
- Experience working with cloud platforms: AWS (Glue, S3), Azure (Data Lake, ADF), or GCP (BigQuery, GCS)
- Hands-on experience with Databricks Auto Loader, Structured Streaming, and job scheduling
- Familiarity with Unity Catalog for multi-workspace governance and fine-grained data access
- Experience integrating with orchestration tools (Airflow, ADF) and using infrastructure-as-code for deployment
- Comfortable with version control and automation using Git, Databricks Repos, dbx, or Terraform
- Experience with performance tuning, Z-Ordering, caching strategies, and partitioning best practices
- Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.
- Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.
- Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here.
- Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn’t just a knowledge-sharing forum—it’s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.