Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*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. "

Job Description & Summary:  Data Engineer/Big data/Quality Engineer

Responsibilities:

Data Engineers (Cloud)·         Strong experience in established data technologies viz. Data ingestion, ETL, and data warehouse, CDC and Event Streaming technologies.·         Hands on experience in AWS cloud services for data management and governance.·         Develop pipelines to ingest data from different sources such as Database, delimited files etc, do complex transformation and loading data into the S3.·         develop Glue mapping and create Glue data catalogue·         Hands on experience in design and implementation of data pipelines, ETL and data warehouse technologies following industry standards.·         Experienced or conversant in emerging tools like parquet or iceberg and unstructured data. Must understand them sufficiently to guide the organization in understanding and adopting themBI Engineers (Tableau)·         Expertise in visual analytics and design principles·         Strong experience in: Tableau other visualization development experience and designing dashboards / decision enablement tools·         SQL Programming, PL/SQL·         Developing rich portfolio of design uses cases demonstrating excellent user experience·         Working in an agile development environment including rapid prototyping during sprints
 Quality Engineers·         Translate user stories into testing and automation requirements·         Develop, enhance, and execute automated scripts using recommended tools and framework, as per acceptance criteria identified from Behavior Driven Development (BDD) approach·         Record and track defects, and drive to resolution·         Work with the team to ensure all aspects of the system have proper risk-based testing coverage and overall system reliability, performance, and quality (unit, integration, API, accessibility, functional, regression, performance, security, release)·         Ensure that automation scripts (and test cases) are articulated and structured well to enable rapid execution by any other team members, as required·         Contribute to the automated tests in the CI/CD·         Contribute early to the design and development process to ensure built-in quality code (TDD and BDD)·         Add, reuse and maintain the automated and manual tests in the Regression Model, Knowledge of PyCharm is must ·         Proactively inform the Scrum Master of any challenges that could impact the delivery of test automation·         Implement QE process and automated testing, using best practices and tools from the centralized QE Chapter, for all work streams to improve the overall testing cycle·         Ensures that the squad has the appropriate test environment (including Automated Environment Provisioning or AEP) and test data

Mandatory skill sets:

Data Engineer/Big data/Quality Engineer

Preferred skill sets:

Data Engineer/Big data/Quality Engineer

Years of experience required:

4+

Education qualification:

BTech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date