Shape Databricks and AWS data foundations as a hands-on Senior Data Engineer building scalable pipelines and trusted data products. This senior position transforms complex operational data into reusable products for analytics, AI, machine learning, and self-service decisions. You will develop lakehouse solutions with Spark, SQL, Python, Delta Lake, and Medallion Architecture. The work supports Tableau reporting, Databricks Genie, and Genie Code across enterprise functions. Key Responsibilities:
Design, test, and maintain scalable Databricks ETL and ELT pipelines Build Delta Lake solutions using Medallion Architecture Integrate structured and semi-structured enterprise data sources Optimize workloads, queries, tables, compute, and pipeline performance Implement orchestration, monitoring, reconciliation, and automated recovery Requirements:
Hands-on experience with Databricks, Spark, SQL, Python, and AWS Knowledge of dimensional models, star schemas, and standardized KPIs Ability to create curated, reusable business-ready data products Experience with Unity Catalog governance, lineage, and access controls Understanding of testing, version control, Git, and CI/CD processes Apply Databricks, AWS, Spark, and Python expertise to build governed data products supporting enterprise analytics and AI.
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Senior Databricks Data Engineer employer: Celebal Technologies
Join a forward-thinking company that values innovation and collaboration, where as a Databricks Architect, you'll have the opportunity to work with cutting-edge technologies in a dynamic environment. Our commitment to employee growth is reflected in our continuous learning programs and supportive work culture, ensuring you thrive both personally and professionally. Located in a vibrant tech hub, we offer competitive benefits and a unique chance to shape the future of data architecture while enjoying a balanced work-life experience.
