Engineering Managers

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 6-12 years of hands-on experience

Position Requirements

Must Have:

• 6+ 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
• Should have team management experience.
• 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 knowledge in Snowflake and 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/ Snowflake
• 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: Manager
• 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 lead the end-to-end implementation of innovative Cloud data engineering solutions. As a Manager you motivate and inspire teams, leveraging their unique strengths to deliver exceptional client service while maintaining the firm’s quality standards. This role offers the chance to work with cutting-edge technologies in Azure, driving impactful projects and fostering a culture of continuous improvement and mentorship.

Responsibilities

• Oversee and guide data engineering projects from inception to completion
• Collaborate with cross-functional teams to enhance data solutions
• Mentor and develop junior engineers to build their skills
• Analyze complex data systems to identify areas for improvement
• Implement innovative technologies to streamline processes
• Establish project timelines and quality standards for deliverables
• Foster a culture of continuous learning and professional growth
• Maintain compliance with industry standards and organizational policies
  
  

What You Must Have

• Bachelors Degree
• 6 years of experience
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Bachelors Degree in Computer Science or related field preferred
• Certifications in Azure, Databricks, or Snowflake preferred
• Demonstrating proficiency in Azure cloud services
• Managing teams and leading agile development
• Excelling in data engineering and cloud solutions
• Understanding data management concepts and modeling
• Utilizing Big Data frameworks like Hadoop and Spark
• Creating documentation for project architecture and user manuals
• Familiarity with DevOps tools and cloud migration processes

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