Engineering Managers

PwC Acceleration Center India

Bengaluru

On-site

INR 3,000,000 - 6,000,000

Full time

11 hours ago

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Job summary

PwC Acceleration Center India in Bangalore invites an experienced Data & Analytics Engineering Manager to lead end-to-end Cloud data solutions on Azure. You will mentor engineers, drive architecture, and deliver scalable data pipelines using Azure Data Factory, Synapse and Spark-based frameworks.

The role requires 6+ years in Azure data engineering, team leadership, and strong communication with clients. Travel may be required as part of project needs.

Qualifications

6+ years of experience in Azure ADLS, Databricks, Spark, and Hadoop.
Strong data modelling and DW lifecycle understanding.
Experience leading agile teams and delivering cloud data solutions.
Proficient in Snowflake and SQL with stored procedures.
Familiar with DevOps tools and cloud migration processes.

Responsibilities

Oversee data engineering projects from inception to completion.
Collaborate with cross-functional teams to improve data solutions.
Mentor and develop junior engineers.
Analyze complex data systems for improvements.
Implement innovative cloud technologies to streamline processes.
Establish timelines and quality standards for deliverables.
Foster continuous learning and professional growth.
Maintain compliance with industry standards and policies.

Skills

Azure ADLS

Databricks

Data Flows

HDInsight

Azure Analysis Services

Data modelling

Team management

Hadoop

Spark

Unix shell scripting

Snowflake

SQL

Jenkins/Gitlab

CI/CD

Education

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

Tools

Azure Data Factory

Azure Synapse

Jenkins

GitLab

Code Pipeline

Code Build

Code Commit

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.

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

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