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



Date2025-07-03T08:16:31.416Z bot
Xenon7 Senior Data 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’re seeking senior Data Engineering professionals (6+ years) who are excited to build, mentor, and lead in the evolving world of intelligent systems. Data Engineers at Xenon7 are builders, problem-solvers, and performance-optimizers. They design the pipelines that power intelligent systems, enabling teams to access, transform, and act on data with confidence. 6+ years of experience in data engineering roles Skilled in Python, PySpark, and SQL Experienced in building scalable ETL/ELT pipelines using Databricks or similar big data platforms Well-versed in lakehouse architecture, data lakes, and governance practices (e.g., Unity Catalog) Comfortable using Git-based tools (Bitbucket, GitHub) in a collaborative DevOps environment Experienced in cloud data engineering on Azure or AWS Knowledgeable in workflow orchestration (Databricks Workflows, Airflow, etc.) Focused on optimization, performance, and reliability Preferred: Familiarity with Snowflake, CI/CD pipelines, and tools like Jenkins

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