IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangal at pwc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

30 Jun, 26

Salary

0.0

Posted On

01 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Ab Initio, Unix Shell Scripting, PySpark, Google Cloud Platform, Data Engineering, ETL Processes, Data Quality, Data Processing, Data Pipelines, Statistical Modelling, Data Manipulation, Data Visualisation, Collaboration, Analytical Thinking

Industry

Professional Services

Description

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. " Job Description & Summary: We are seeking an experienced Senior Data Engineer to join our team on a full-time basis. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines for both batch and real-time data processing. The ideal candidate will have strong technical expertise, a passion for data engineering, and the ability to collaborate effectively in a hybrid work environment. Responsibilities Design, build, and optimize scalable data pipelines for batch and real-time data processing. Develop and maintain high-performance ETL processes using tools like Ab Initio and PySpark. Write, troubleshoot, and optimize code using Python, SQL, and Unix Shell Scripting. Leverage Google Cloud Platform (GCP) tools such as Composer, BigQuery, Cloud Storage, Dataflow, Dataplex, and Dataproc to enhance data processing capabilities. Collaborate with cross-functional teams to deliver high-quality data solutions. Ensure data quality, reliability, and efficiency in all processes. Be part of a dynamic and forward-thinking team focused on cutting-edge data technologies. Opportunity to work on impactful projects with global exposure. A collaborative, inclusive, and growth-oriented workplace culture. Competitive compensation and benefits. Mandatory skill sets: Python, SQL, Ab Initio (ETL Tool), Unix Shell Scripting, PySpark. Google Cloud Platform (Composer, BigQuery, Cloud Storage, Dataflow, Dataplex, Dataproc). Preferred skill sets: This role is sector-agnostic, and candidates with diverse industry experiences are encouraged to apply. Years of experience required: 6 to 9 years of experience in data engineering or related fields. Education qualification: Bachelor's degree in Engineering (BE/BTech) or equivalent. 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 PySpark 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 Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date May 15, 2026 Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

The Senior Data Engineer will design, build, and optimize scalable data pipelines for batch and real-time data processing. They will also develop and maintain high-performance ETL processes and ensure data quality and reliability.