Data Engineer - Databricks

Simbus is a fast-growing digital transformation company specializing in Supply Chain and AI solutions, with a team of 75+ professionals based in India and expanding into the United States. We support Fortune 1000 organizations in transforming their supply chains and achieving world class performance metrics. We partner with leading platforms such as Kinaxis for supply chain planning and Databricks for Data and Generative AI to deliver innovative solutions to global clients across industries including Life Sciences, Automotive, Fashion, and Consumer Goods. Simbus is also proud to be a Great Place to Work Certified organization, reflecting our commitment to building a positive, inclusive, and high-performance workplace. We offer employees the opportunity to work on global projects, along with a flexible work-from-home policy, strong work life balance, and continuous learning & growth opportunities.

Job Description

This is a remote position.

We are looking for a Data Engineer with strong Databricks experience to join our growing Data & AI Practice. The role involves migrating client data estates from legacy platforms to Databricks, building scalable and metadata-driven data pipelines, implementing Unity Catalog governance, managing CI/CD processes, and supporting Databricks platforms in production.

You will work closely with client stakeholders and senior engineers to deliver high-quality data solutions, contribute to technical documentation and code reviews, and help build reusable Databricks engineering assets.

Requirements

• Bachelor's degree in Computer Science, IT, or a related discipline.
• 2–5 years of Data Engineering experience, including at least 18 months of Databricks experience.
• Databricks Certified Data Engineer Associate certification; Professional certification preferred.
• Strong expertise in PySpark, Advanced SQL and Delta Lake.
• Experience with Medallion Architecture, Data Modeling, Auto Loader, Delta Live Tables/Lakeflow and Databricks Workflows.
• Proficiency in software engineering practices, Git-based development and cloud platforms such as Azure or AWS.
• Experience in data migration, metadata-driven pipelines, Unity Catalog, CI/CD and Databricks Asset Bundles.
• Knowledge of Databricks SQL, Structured Streaming, automated testing, performance optimization, MLflow and Generative AI is desirable.
• Strong analytical, problem-solving, communication and collaboration skills.
• Ability to take ownership of delivery and troubleshoot production data platforms.
• Open and transparent work culture
• Opportunity to work on global client projects
• Flexible work-from-home environment
• Competitive compensation and benefits
• Collaborative and learning-focused culture
• Sponsored Databricks certifications
• Exposure to end-to-end Databricks implementations
• Clear career growth and development path