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Senior Data Engineer

Xenon7 partners with leading enterprises and startups to deliver IT solutions across Data, Web, Infrastructure, and AI domains, focusing on innovative technology projects.
Data
Senior Software Engineer
Hybrid
7+ years of experience
Enterprise SaaS · Healthcare

Description For Senior Data Engineer

Xenon7 is seeking an experienced Senior Data Engineer to join their elite engineering collective. With 7+ years of experience required, this role focuses on designing and implementing scalable data infrastructure and analytics solutions. The position offers a unique opportunity to work with leading enterprises and innovative startups on cutting-edge projects.

The ideal candidate will bring extensive expertise in Python, PySpark, and SQL, with strong experience in building ETL/ELT pipelines using Databricks or similar platforms. Knowledge of lakehouse architecture, cloud platforms (Azure/AWS), and workflow orchestration tools is essential. The role demands someone who can optimize performance and maintain reliability in complex data systems.

Xenon7 offers a flexible, trust-based working environment where engineers can choose projects that align with their interests and expertise. The company provides USD-based compensation with clear payment structures, remote collaboration opportunities, and the chance to work with global teams. As part of their elite engineering collective, you'll contribute to transformative initiatives while growing professionally through knowledge exchange with top-tier professionals.

The position is hybrid-based in Hyderabad, India, offering a balance between remote work flexibility and in-person collaboration. This role presents an excellent opportunity for experienced data engineers looking to work on impactful projects while maintaining professional autonomy and growth potential.

Last updated 11 days ago

Requirements For Senior Data Engineer

Python
  • 7+ years of experience in data engineering roles
  • Skilled in Python, PySpark, and SQL
  • Experience in building scalable ETL/ELT pipelines using Databricks or similar big data platforms
  • Knowledge of lakehouse architecture, data lakes, and governance practices
  • Experience with Git-based tools (Bitbucket, GitHub) in DevOps environment
  • Experience in cloud data engineering on Azure or AWS
  • Knowledge of workflow orchestration (Databricks Workflows, Airflow)
  • Focus on optimization, performance, and reliability
  • Preferred: Familiarity with Snowflake, CI/CD pipelines, and Jenkins

Benefits For Senior Data Engineer

  • USD-based compensation
  • Remote collaboration opportunities
  • Project selection flexibility
  • Clear and timely payment structure
  • Access to high-impact projects
  • Community of top-tier professionals
  • Work with leading healthcare enterprises and innovative startups

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