Industry/Sector

Not ApplicableSpecialism

Product InnovationManagement Level

Senior Associate & Summary The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further.

With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As an Engineering Manager - Azure, AWS, DBT - Senior Associate, you will play a pivotal role in shaping and delivering data engineering solutions within our Data and Analytics Engineering group. You will be at the forefront of client engagements, leveraging your skills to transform complex data into actionable insights. Within our Cloud Engineering, Data & Analytics network, you will collaborate with a diverse team to drive data modernization initiatives, enhancing our clients' capabilities in the cloud environment.

As a Senior Associate, you will develop meaningful client connections and guide junior team members, fostering a culture of growth and learning. You will navigate complex challenges, using your problem-solving skills to deliver quality solutions that align with our firm's methodologies. Your role will involve mentoring others, maintaining professional standards, and contributing to the development of innovative data products within our Product Innovation competency network.

In this role at PwC Acceleration Center India,



you will have the chance to work on cutting-edge projects, utilizing your technical strengths to drive impactful results. Your contributions will be integral to our mission of delivering exceptional client service and advancing our data engineering capabilities.

Responsibilities

- Leading the design and implementation of scalable data engineering solutions using Azure and AWS platforms
- Managing data pipelines and workflows with Apache Airflow to optimize data processing and integration
- Developing and maintaining data architecture frameworks to support data modernization initiatives
- Utilizing Databricks and Snowflake for advanced data analytics and warehousing solutions
- Overseeing database management and optimization to enhance performance and security
- Collaborating with cross-functional teams to drive data strategy and transformation projects
- Implementing data validation and quality checks to maintain data integrity across systems
- Building and managing data lakes and warehouses to support business intelligence and analytics needs
- Applying analytical thinking to solve complex data challenges and improve data infrastructure
- Guiding junior team members in data engineering best practices and methodologies

What You Must Have

- At least a Bachelor's degree




- At least 4 years of experience
- Oral and written proficiency in English required

-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

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for data engineering
- Developing data architecture and optimization strategies for complex systems
- Implementing data pipeline and transformation processes using Apache Airflow
- Excelling in database management and security best practices
- Navigating ambiguity in client-focused environments with analytical thinking
- Mentoring junior team members in data engineering methodologies

Travel Requirements

Not SpecifiedJob Posting End Date

📌 Engineering - Azure, AWS, DBT - Senior Associate (Bengaluru)
🏢 PwC
📍 Bengaluru