Data Engineer Job in Kolkata at PwC

PwC is hiring for the role of Data Engineer!

Responsibilities of the Candidate:

• Invite and give in the moment feedback in a constructive manner.
• Share and collaborate effectively with others.
• Identify and make suggestions for improvements when problems and/or opportunities arise.
• Handle, manipulate and analyse data and information responsibly.
• Follow risk management and compliance procedures.
• Keep up-to-date with developments in area of specialism.
• Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
• Build and maintain an internal and external network.
• Seek opportunities to learn about how PwC works as a global network of firms.
• Uphold the firm's code of ethics and business conduct.
• Data Engineering:
• Develop, optimize, and maintain data pipelines and workflows to ensure
• eƯicient data integration from multiple sources.
• Use Python and SQL to design and implement scalable data processing solutions.
• Ensure data quality and consistency throughout data transformation and storage processes.
• Collaborate with data architects and senior engineers to build data solutions that
• meet business and technical requirements. Cloud Technologies
• Work with cloud platforms (e.g., AWS, Azure, or Google Cloud) to deploy and maintain data solutions.
• Support the migration of on-premise data infrastructure to the cloud environment when needed.
• Assist in implementing cloud-based data storage solutions, such as data lakes and data warehouses. Data Visualization
• Provide data to business stakeholders for visualizations using tools such as
• Power BI, Tableau, or QuickSight.
• Collaborate with analysts to understand their data needs and optimize data structures for reporting. Collaboration And Support
• Work closely with cross-functional teams, including data scientists and business analysts, to support data-driven decision-making.
• Troubleshoot and resolve issues in the data pipeline and ensure timely data delivery.
• Document processes, data flows, and infrastructure for team knowledge sharing.

Requirements:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or related fields.
• Basic knowledge of cloud platforms and services is advantageous.
• Strong communication skills and the ability to work in a team-oriented environment.
• 0+ years of experience in data engineering, working with Python and SQL.
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud is preferred.
• Familiarity with data visualization tools (e.g., Power BI, Tableau, QuickSight) is a plus.