IN-Senior Associate AWS Data Engineer D&A Advisory PAN India

Line of Service

Advisory

Industry/Sector

FS X-Sector

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. "

Responsibilities:

Job Description: Senior Associate – AWS Data Engineer

Job Location: PAN India

Experience: 5-8 Years

Job Summary:

We are looking for an experienced Data Engineer to join our team. The ideal candidate will be responsible for developing data pipelines in AWS and have strong knowledge of end-to-end data flow using AWS services. The candidate is expected to understand the business requirements and implement the same in technical landscape. Apart from this, the candidate is expected to work with other team members from different workstreams for smooth delivery.

· Design and build data pipelines & Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions

· Knowledge about the concepts of data lake and data warehouse

· Experience working with AWS big data technologies

· Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection.

· Deploy and configure components to production environments

· Experience in working in pharma and/or healthcare clients will be a plus

Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark.

Desired Candidate Profile:

· B.E./B.Tech. (preferably in Computer Science) or MCA or Statistics/Applied Mathematics

· Experience in designing solutions with IaaS, PaaS, and SaaS.

· Proficient in data modeling and ETL pipeline implementation.

· Strong knowledge of AWS services.

· Proven track record in business development and client relationship management.

· Excellent communication and interpersonal skills.

· Prior experience working with pharmaceutical clients.

Mandatory skill sets:

AWS Data Engineer

Preferred skill sets:

AWS Data Engineer

Years of experience required:

4-13

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

AWS Data Pipeline

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

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date