Data Engineer- Azure Databricks- Senior Associate
PwC (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 10–20 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain Azure Databricks data pipelines and scalable data engineering solutions for cloud environments.
- Design and optimize data integration, transformation, validation workflows, and data models to support analytics and reporting.
- Mentor junior team members, review code and data quality, and collaborate with clients to translate business needs into data architecture and delivery plans.
Minimum Requirements
- Bachelor's degree required.
- Minimum 4 years of experience specifically with Azure ADLS, Databricks, HDInsight, Azure Analysis Services, Hadoop, and Spark.
- Strong skills in SQL, Unix Shell Scripting, data extraction from diverse sources, and cloud data migration processes.
- Experience with DevOps tools such as Git, Jenkins/GitLab, and knowledge of CI/CD frameworks.
Ideal Candidate Profile
- Experienced in Azure Databricks delivery and data modernization projects involving cloud-native architectures.
- Skilled in translating complex data requirements into scalable engineering solutions and optimizing data pipelines and models.
- Capable of managing workstreams while mentoring junior engineers and applying critical thinking to solve complex data problems.