Industry/Sector

Specialism

Management Level

Job Description & Summary

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.

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 strong 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

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 own and enhance an internal developer portal built on a SaaS platform, integrating public APIs, webhooks, and custom UI/UX. As a Senior Associate, you will analyze complex problems, mentor junior engineers, and lead architecture and code reviews, promoting standards while navigating ambiguity to deliver quality solutions.
• This role offers the chance to work with advanced technologies, collaborate across teams, and contribute to impactful projects that drive innovation and productivity.

Responsibilities

• Own and enhance the internal developer portal on a SaaS platform
• Integrate public APIs, webhooks, and custom UI/UX elements
• Analyze intricate problems and provide practical solutions
• Mentor junior engineers and guide their development
• Lead architecture and code reviews to maintain quality standards
• Collaborate with cross-functional teams to drive innovation
• Navigate ambiguity to deliver quality outcomes
• Contribute to impactful projects that enhance productivity

What You Must Have

• Bachelor's Degree
• 4 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Proven experience in building SaaS platforms
• Designing and maintaining Python-based microservices
• Deploying services on Azure and using Docker
• Leading architecture and code reviews
• Mentoring junior engineers and collaborating across teams
• Contributing to open source or technical blogs
• Familiarity with platforms like Backstage or Temporal.io
• Understanding of enterprise authentication methods
• Experience with CI/CD pipelines and automated testing

Travel Requirements

Job Posting End Date