We 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 new Lakehouse environment.

Key Responsibilities
- Design, build, and maintain scalable data pipelines using Databricks (Delta Lake, Unity Catalog, Spark).
- Lead or significantly contribute to the migration and rehydration of approximately 500 Power BI reports in 2026, including re-pointing and optimizing data sources.
- Implement and maintain CI/CD pipelines for data assets using Databricks Asset Bundles (DAB), GitHub Actions, and other modern DevOps practices.
- Collaborate with data analysts, BI developers, and business stakeholders to ensure data availability, performance, and reliability.
- Optimize ETL/ELT processes for performance, cost, and maintainability.
- Establish best practices for version control, testing, and deployment of notebooks, workflows, and Delta Live Tables.





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

Nice-to-Have / Bonus Skills
- Experience extracting data from
SAP/HANA
or
S/4HANA
systems (via ODP, CDS views, SDA, etc.).
- Previous large-scale Power BI migration or re

📌 Data Engineer (Pune)
🏢 Allison Transmission
📍 Pune