At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. At PwC - AC, as an Azure Senior Developer, the candidate is responsible for end-to-end implementation of Cloud data engineering solutions. The candidate should have strong experience in Azure cloud using Storage services (Blob, ADLS, PaaS SQL), Azure Data factory and Azure Synapse .

Strong in planning and organization skills. Ability to work as cloud developer/lead on an agile team and provide automated cloud solutions.

Years Of Experience

Candidates with 4-8 years of hands on experience Position Requirements Must Have: 4+ years of experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services

Should be aware of Data Management concepts and Data Modelling

Good knowledge of Big Data frameworks and related technologies

Experience in Hadoop and Spark is mandatory

Should have expertise in extracting data from different source systems like flat files, XML sources, JSON, Parquet files, Big data appliances, RDBMS, etc.

Good knowledge of Big Data frameworks and related technologies

Experience in Hadoop and Spark is mandatory

Should have clear understanding of DW lifecycle and contributed in preparing

Detail Level Design document

Unit Test plans

Code review reports

Must have solid sql, understand joins, groups, functions & Stored procedures

Must have experience in Unit and Integration Test creation and verification





Proficient in creating documentation related to Project Architecture, Project end User Manual and Operations Hand off guide

Should have good understanding of Data Migration processes, methods and project lifecycle

Good in Unix Shell Scripting skills

Strong analytical skills and troubleshooting skills

Should be well versed with quality processes and implementation

Excellent communication skills

Strong understanding of Cloud data migration processes, methods and project lifecycle

Good knowledge of Application DevOps tools (Git, CI/CD Frameworks)

Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit Desired Knowledge / Skills Certifications in Azure / Databricks

Experience in building stream-processing systems, using solutions such as Storm or Spark

Streaming

Experience in Big Data ML toolkits, such as Mahout, SparkML, or H2O

Experience in Azure functions

Knowledge in Python Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Additional Information Travel Requirements: Travel to client locations may be required as per project requirements.

Line Of Service Advisory Horizontal Technology

Consulting Designation Senior Associate Location: Bangalore, India The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs,



you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics Engineering team you will lead the end-to-end implementation of innovative Cloud data engineering solutions. As a Senior Associate, you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of the data landscape. This role offers the chance to deepen your technical skills and enhance your professional brand in a dynamic and collaborative environment.

Responsibilities Design and develop data solutions using Azure Databricks

Collaborate with cross-functional teams to deliver analytics projects

Analyze data to derive actionable insights for clients

Enhance data processing workflows for efficiency

Mentor and support junior data engineers in their tasks

Stay informed on advancements in data engineering technologies

Maintain adherence to data governance and security protocols

Conduct training sessions on recommended practices in data management What You Must Have Bachelor's Degree in Engineering, MCA, M.Sc, M.E, M.Tech, MBA

4 years of experience

Oral and written proficiency in English required

BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA What Sets You Apart Certifications in Azure or Databricks

Excelling in Azure cloud and data engineering solutions

Demonstrating planning and organization skills

Leading cloud development on agile teams

Understanding data management concepts and data modeling

Skilled in SQL and data extraction techniques

Utilizing Big Data frameworks like Hadoop and Spark

Knowledgeable in application DevOps tools and processes

📌 Software Engineer - Senior Associate (Bengaluru)
🏢 PwC Acceleration Center India
📍 Bengaluru