Data Engg + Databricks (Pune)

Data Engg + Databricks (Pune)

16 Aug
|
Birlasoft
|
Pune

16 Aug

Birlasoft

Pune

AREA(S) OF RESPONSIBILITY

Role Summary
We are seeking a seasoned Senior Azure Data Engineer / Sr. Technical Lead with
extensive expertise in Azure Databricks, PySpark, ADF, SQL, and up-to-date data
engineering practices. This role requires strong technical leadership, hands on
engineering capabilities, and the ability to design, architect, and deliver
enterprise-scale data solutions. The ideal candidate will lead complex data
initiatives, mentor engineering teams, and collaborate with cross-functional
stakeholders to build a robust and scalable data ecosystem on Azure.

Key Responsibilities
1. Solution Architecture & Technical Leadership
Lead the design, development, and deployment of large-scale data engineering
solutions using Azure Databricks, PySpark, SQL, ADF, and Azure Data Lake.
Architect end-to-end Modern Data Warehouse (MDW) and Lakehouse solutions,
ensuring scalability, performance, security, and cost optimization.
Define technical standards, coding best practices, reusable frameworks, and
architectural guidelines for engineering teams.




Provide technical leadership across the project lifecycle—requirements analysis,
solution blueprinting, estimation, development, and deployment.
2. Data Pipeline Engineering
Build, optimize, and maintain scalable, high performance ELT/ETL pipelines to
process large volumes of structured and unstructured data.
Set up complex data ingestion frameworks, enabling seamless integration with
on-premise systems, cloud services, APIs, and third-party sources.
Ensure high availability, data reliability, and error-resilient orchestration
workflows in Azure Data Factory.
3. Azure Databricks & PySpark Expertise
Design and implement advanced transformation logic using PySpark on Databricks,
ensuring efficient data processing and code modularity.
Utilize Delta Lake capabilities—ACID transactions, schema evolution, versioning,
time travel—to manage enterprise-grade datasets.
Perform cluster-level tuning, optimization of shuffle operations, ca

📌 Data Engg + Databricks (Pune)
🏢 Birlasoft
📍 Pune

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