Senior Associate AWS Data Analytics Advisory Bangalore

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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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 maintain scalable ETL/ELT pipelines

• Ingest data from various sources (APIs, databases, files, etc.)

• Implement both real-time and batch processing solutions based on use case requirements

• Ensure data quality through validation and cleansing processes

• Collaborate with Product Managers and Business Stakeholders to gather and understand data requirements

• Translate business needs into technical specifications

• Ensure data security, access control, and compliance with relevant policies

• Maintain documentation and follow best practices for data engineering

Ideal candidate profile: 4-8 years of hands-on experience with Snowflake, Airflow and Pyspark in any cloud platform (AWS/Azure/GCP). The candidate should be serving notice with LWD in the next 3 weeks.

Mandatory skill sets:

AWS, Snowflake, Kafka, Airflow

Preferred skill sets:

GitHub, PySpark

Years of experience required:

4-8 Years

Education qualification:

BTECH/MTECH/BCA/MCA

Education

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications

Required Skills

Amazon Web Services (AWS)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date