Senior Databricks Engineer - Join our growing community job opportunity at Xenon7.



Date2025-07-07T11:23:11.707Z bot
Xenon7 Senior Databricks Engineer - Join our growing community
Experience: 6-years
Pattern: Contract
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loacation Hyderabad, India
loacation Hyderabad....India
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About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges. We are building a community of top-tier experts and we’re opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process We ensure every member is aligned and empowered: Screening – We review your application and experience in Data & AI, ML engineering, and solution delivery 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 Who We're Looking For We are looking for a skilled and experienced Data Engineer with deep expertise in the Databricks ecosystem to join our data engineering team. You will be responsible for building, optimizing, and maintaining scalable data pipelines on Databricks, leveraging Delta Lake, PySpark, and cloud-native services (AWS, Azure, or GCP). You will collaborate with data scientists, analysts, and business stakeholders to ensure clean, high-quality, and governed data is available for analytics and machine learning use cases. 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

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