INSenior AssociateAWSData AnalyticsAdvisoryNoida

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 forour 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 foreach 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 firms 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 (if blank degree and / or field of study not specified)

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

Degrees / Field of Study preferred :

Certifications (if blank certifications not specified)

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 (If blank desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship

No

Government Clearance Required

No

Job Posting End Date

Required Experience :

Senior IC

Employment Type : Full-Time

Experience : years

Vacancy : 1