Job DescriptionWe are seeking an experienced Data Engineer to join our growing data team and play a key role in modernizing our analytics platform. In 2026, we will be executing a large-scale migration and rehydration of ~500 existing Power BI reports, including re-connecting and optimizing data sources in a current Lakehouse environment.
N n Key Responsibilities
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- Design, build, and maintain scalable data pipelines using Databricks (Delta Lake, Unity Catalog, Spark). N
- Lead or significantly contribute to the migration and rehydration of approximately 500 Power BI reports in 2026, including re-pointing and optimizing data sources. N
- Implement and maintain CI/CD pipelines for data assets using Databricks Asset Bundles (DAB), GitHub Actions, and other modern DevOps practices. N
- Collaborate with data analysts, BI developers, and business stakeholders to ensure data availability, performance, and reliability. N
- Optimize ETL/ELT processes for performance, cost, and maintainability. N
- Establish best practices for version control, testing, and deployment of notebooks,



workflows, and Delta Live Tables. N

n Required Experience & Skills
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- 4+ years of hands-on data engineering experience (5-7+ years of experience overall). N
- Strong proficiency in Python and SQL . N
- Deep experience with Databricks (workspace administration, cluster management, Delta Lake, Unity Catalog, workflows, and notebooks). N
- Proven track record implementing CI/CD for data workloads (preferably using Databricks Asset Bundles and GitHub Actions ). N
- Solid understanding of Spark (PySpark and/or Spark SQL). N
- Experience with infrastructure-as-code and modern data DevOps practices. N
- Relevant certifications strongly preferred: N
- Databricks Certified Data Engineer Associate or Professional N
- Azure Data Engineer Associate (DP-203) or equivalent AWS/GCP certifications N

n Nice-to-Have /Bonus Skills
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- Experience extracting data from SAP/HANA o

📌 Data Engineer (Surat)
🏢 Allison Transmission
📍 Surat