Assurance-Data \\u0026 Analytics-Data Engineer-Senior Associate (Kolkata)

PwC Acceleration Center India; Kolkata District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PwC Acceleration Center India is seeking a data engineering lead to design and optimize large-scale data pipelines using Python and SQL. You will implement scalable data models, build cloud-based data solutions, and prepare data for ML and analytics.

You will collaborate with data scientists, cloud engineers, and business analysts, mentoring juniors and ensuring data quality for stakeholders across the organization.

Qualifications

• 4+ years of data engineering experience with Python and SQL.
• Experience in data modeling and scalable data solutions.
• Familiarity with cloud data platforms and basic ML concepts.

Responsibilities

• Lead development and optimization of data pipelines for large-scale data.
• Design and implement scalable data models and storage solutions.
• Collaborate with data scientists and cloud engineers on projects.
• Provide clean data for dashboards and business reports.
• Mentor junior engineers and guide technical discussions.

Skills

Python

SQL

Data Modeling

Power BI

Tableau

QuickSight

Cloud platforms

Education

Bachelor's or Master's in CS/DS/IT

Tools

AWS

Azure

Google Cloud

Job description

Examples Of The Skills, Knowledge, And Experiences You Need To Lead And Deliver Value At This Level Include But Are Not Limited To:

Respond effectively to the diverse perspectives, needs, and feelings of others.Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.Use critical thinking to break down complex concepts.Understand the broader objectives of your project or role and how your work fits into the overall a deeper understanding of the business context and how it is changing.Use reflection to develop self awareness, enhance strengths and address development areas.Interpret data to inform insights and recommendations.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Key Responsibilities

Data Engineering & Modeling: Lead the development, optimization, and maintenance of complex data pipelines to handlelarge-scale data integration and transformation. Apply advanced SQL and Python to design, build, and optimize data processing systemsand workflows. Utilize strong data modeling skills to develop and implement eicient and scalabledatabase structures. Ensure data quality, accuracy, and security throughout all stages of data processing.

Cloud Data Solutions: Work extensively with cloud platforms (e.g., AWS, Azure, Google Cloud) to design anddeploy scalable data solutions. Implement cloud-based data lakes, warehouses, and other data storage solutions incollaboration with data architects and cloud engineers. Automate and optimize cloud infrastructure to enhance performance and reduce costs.

Machine Learning & AI Support: Support data scientists and machine learning engineers by preparing data for machinelearning and AI models. Utilize basic knowledge of machine learning concepts to identify opportunities forpredictive analytics and automation within data workflows.

Data Visualization: Provide clean, structured data to business stakeholders for use in visualizations with PowerBI, Tableau, QuickSight, and other tools. Collaborate with analysts and business users to deliver data that meets their reporting andanalytics needs.

Collaboration & Leadership: Mentor junior data engineers and provide technical leadership in designing data solutions. Work closely with cross-functional teams including data scientists, cloud architects, andbusiness analysts to ensure data strategies align with business objectives. Troubleshoot, optimize, and resolve issues in existing data infrastructure and pipelines.

Required Skills and Experience

4+ years of Experience in data engineering, with strong expertise in Python and SQL. Extensive Experience with data modeling and designing scalable data solutions. Proficiency with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-nativeservices. Basic understanding of machine learning and AI principles, with an ability to support relatedinitiatives. Hands-on Experience with data visualization tools such as Power BI, Tableau, or QuickSight. Strong problem-solving and analytical skills, with attention to detail and : Bachelors or Masters degree in Computer Science, Data Science, Information Technology,or related fields. Demonstrated Experience in building and optimizing data pipelines in cloud environments. Ability to lead technical discussions and mentor junior team members. Robust communication skills and Experience collaborating with cross-functional teams.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. At PwC, our people in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isnt clear, you ask questions, and you use these moments as opportunities to grow.