IN_Senior Associate_Junior Data Engineer_GCC_Advisory_Noida

Price Waterhouse Cooper LLP; Dadri; On-site; INR 600,000 - 1,100,000; Full time

Job summary

PwC in India is seeking a data engineer to build and optimize data pipelines using Python, PySpark, and SQL for analytics on large datasets. You will collaborate with senior engineers to design scalable Databricks-based architectures and ensure data quality across cloud environments.

A strong foundation in data warehousing and ETL is required, with 1–4 years of experience. Ideal candidates will handle data modeling and participate in code reviews, contributing to cost-aware cloud processing and

Qualifications

• 1–4 years of data engineering experience.
• Proficiency in SQL, Python and Spark.
• Experience with Databricks and cloud data platforms.

Responsibilities

• Develop and maintain data pipelines using Python and PySpark to extract, transform, and load data from various sources into cloud-based data warehouses
• Write and optimize complex SQL queries to support data analysis requirements and ensure efficient data retrieval for business intelligence applications
• Collaborate with senior data engineers to design and implement scalable data architecture solutions using Databricks platform for big data processing
• Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes to ensure data quality and reliability across cloud environments
• Assist in building automated ETL processes that integrate data from multiple sources including APIs, databases, and file systems
• Support data modeling activities by creating and maintaining dimensional models and data marts to facilitate analytical reporting
• Participate in code reviews and follow best practices for version control, testing, and documentation of data engineering solutions
• Contribute to cloud infrastructure management tasks including resource optimization and cost monitoring for data processing workloads

Skills

SQL

Python

Pyspark

Databricks

Cloud

Education

BE/B.Tech

MBA

MCA

Job description

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.

WhyPWC

AtPwC, 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

AtPwC, 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

• Develop and maintain data pipelines using Python and PySpark to extract, transform, and load data from various sources into cloud-based data warehouses
• Write and optimize complex SQL queries to support data analysis requirements and ensure efficient data retrieval for business intelligence applications
• Collaborate with senior data engineers to design and implement scalable data architecture solutions using Databricks platform for big data processing
• Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes to ensure data quality and reliability across cloud environments
• Assist in building automated ETL processes that integrate data from multiple sources including APIs, databases, and file systems
• Support data modeling activities by creating and maintaining dimensional models and data marts to facilitate analytical reporting
• Participate in code reviews and follow best practices for version control, testing, and documentation of data engineering solutions
• Contribute to cloud infrastructure management tasks including resource optimization and cost monitoring for data processing workloads

Mandatory skill sets

SQL,Python,Pyspark,Databricks,Cloud

Preferred skill sets

SQL,Python,Pyspark,Databricks,Cloud

Years of experiencerequired

1-4 years

Education qualification

BE/B.Tech/MBA/MCA

Education

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

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

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, 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 {+ 41 more}