Azure Developer - Senior Associate

PwC Acceleration Center India

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

PwC Acceleration Centers in Bengaluru invites a Senior Data & Analytics Engineer to own and enhance an internal developer portal built on a SaaS platform. You will integrate public APIs, webhooks, and UI components while mentoring junior engineers.

The role requires 4+ years of hands-on data engineering experience with Azure, Databricks, Hadoop and Spark, strong SQL, and a proven ability to lead architecture reviews and deliver quality, scalable solutions across cross-functional teams.

Qualifications

4+ years of hands-on experience with Azure ADLS, Databricks, Data Flows, HDInsight, and Azure Analysis Services
Strong Data Management concepts and Data Modelling
Proficient with Hadoop and Spark; experience with diverse data sources
Clear understanding of DW lifecycle; capable of preparing design documents and test plans
Strong SQL skills; adept at writing complex queries, stored procedures, and joins
Experience with unit and integration test creation and verification
Proficient in documenting project architecture, end-user manuals and operational handoffs
Familiar with CI/CD pipelines and DevOps tools (Git, pipelines)
Excellent communication and collaboration across teams

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

Skills

SQL

Data Modeling

Big Data

Hadoop

Spark

Unix Shell

Data Pipelines

Data Transformation

Communication

Data Migration

Education

BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

Tools

Azure Data Lake Storage

Databricks

HDInsight

Jenkins

GitLab

CodePipeline

CodeBuild

CodeCommit

Backstage

Job description

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