IN_Associate_AWS Data Engineer _D&A _Advisory _Gurgaon

Overview

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
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. "

Responsibilities:

1. AWS Service Implementation: Design, develop, and maintain data solutions using AWS services, with a particular focus on S3, Athena, Glue, EMR, and Redshift. Implement and optimize data lakes and data warehouses on AWS platforms. 2. Data Pipeline Development: Create and maintain efficient ETL processes using PySpark and other relevant tools. Develop scalable and performant data pipelines to process large volumes of data. Implement data quality checks and monitoring systems to ensure data integrity. 3. Database Management: Proficient with SQL and NoSQL databases, optimizing queries and database structures for performance. Design and implement database schemas that align with business requirements and data models. 4. Performance Optimization: Continuously monitor and optimize the performance of data processing jobs and queries. Implement best practices for cost optimization in AWS environments. Troubleshoot and resolve performance bottlenecks in data pipelines and analytics processes. 5. Collaboration and Documentation: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

Develop and maintain comprehensive documentation for data architectures, processes, and best practices. Participate in code reviews and contribute to the team's knowledge base.

Mandatory skill sets:

· Strong hands-on experience with AWS services, particularly S3, Athena, Glue, EMR, and Redshift. · Proficiency in Python and PySpark for data processing and analysis. · Extremely good with SQL/PL SQL · Demonstrated ability to optimize data pipelines and queries for performance. · Strong problem-solving skills and attention to detail.

Preferred skill sets:

· AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). · Familiarity with data visualization tools (e.g., Tableau, Power BI). · Experience with data modeling and data warehouse concepts. · Innovation thinking and creativity in solution delivery

Years of experience required:

3 – 7 yrs

Education qualification:

Btech/MBA/MCA

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Data Engineering

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Geopolitical Forecasting, Geopolitical Risk Analysis, Global Macro, Inclusion {+ 19 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