Software Engineer - Senior Associate
PwC (company site, opens in a new tab)4–8 yrsBengaluruOn-siteDirect career pageEst. 12–24 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end design and implementation of Cloud data engineering solutions using Azure technologies including Databricks, Data Factory, Synapse, and ADLS.
- Develop, enhance, and optimize data processing workflows and pipelines, ensuring data governance and security adherence.
- Mentor junior data engineers and collaborate with cross-functional teams to deliver analytics projects and actionable data insights.
Minimum Requirements
- 4+ years of hands-on experience in Azure data engineering with expertise in ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis Services, Hadoop, and Spark.
- Proficient in SQL (joins, groups, functions, stored procedures), data extraction from diverse sources (flat files, XML, JSON, Parquet, RDBMS), and Unix shell scripting.
- Bachelor's degree in Engineering (BE/B.Tech), MCA, M.Sc, M.E, M.Tech, or MBA required.
- Experience with Cloud data migration processes, DevOps tools (Git, CI/CD frameworks, Jenkins or GitLab), and creating design documents, test plans, and project documentation.
Ideal Candidate Profile
- Experienced Azure data engineer capable of leading cloud development in agile teams with strong planning and organization skills.
- Deep understanding of data management concepts, data modeling, data warehouse lifecycle, and big data frameworks.
- Strong focus on technical expertise in Azure cloud solutions combined with mentoring abilities and adherence to quality and governance standards.