Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Responsibilities:
Design, develop, and implement robust and scalable data architectures and pipelines on AWS, with the capability to utilize Azure services when necessary.
Optimize data ingestion and transformation processes using AWS services such as AWS Glue, Lambda, and EMR, and incorporate Azure services like Azure Data Factory if required.
Strong expertise in AWS data services such as S3, Glue, Redshift, RDS, DynamoDB, and Lambda.
Familiarity with Azure data services such as Azure Data Factory, Azure Data Lake, or Azure Synapse Analytics.
Experience with data transformation and ETL tools.
Proficiency in programming languages like Python, SQL, or similar for data manipulation and analysis.
Develop and manage data models and databases using AWS solutions like RDS, Redshift, and DynamoDB, and integrate with Azure SQL Database or Cosmos DB as needed.
Work closely with analytics and business teams to understand data requirements, ensuring solutions align with business goals.
Maintain data quality and integrity through effective monitoring and validation processes.
Implement security best practices for data handling and storage within both AWS and Azure environments.
Automate data workflows and infrastructure using tools like Terraform, AWS CloudFormation, or Azure Resource Manager.
Troubleshoot and resolve complex issues related to data processing and storage across cloud platforms.
Qualifications:
Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field, or equivalent experience.
3-8 years of experience in data engineering, with significant exposure to AWS services and some experience with Azure.
Proficiency in AWS data services such as S3, Glue, Redshift, RDS, DynamoDB, and Lambda.
Familiarity with Azure data services such as Azure Data Factory, Azure Data Lake, or Azure Synapse Analytics.
Experience with data transformation and ETL tools.
Strong programming skills in languages like Python, SQL, or similar for data manipulation and analysis.
Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
Excellent problem-solving skills with a detail-oriented approach.
Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Preferred Qualifications:
AWS Certified Data Analytics or Azure Data Engineer Associate certification.
Experience with data visualization tools such as Tableau, Power BI, or AWS QuickSight.
Knowledge of machine learning frameworks and tools.
Experience working in Agile environments and familiarity with Agile methodologies.
Mandatory skill sets:
AWS Data Engineer Data Bricks
preferred skill sets:
Azure GCP
years of experience required:
4 -8 Years
education qualification:
Btech BE
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Microsoft AzureOptional Skills
Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android Operating Systems, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
June 18, 2026