PwC Recruitment Drive; Hiring Data Engineer – Apply Now

Entry Level Positions in PwC 2025!!!

PwC announced job vacancy for the post of Assurance - Financial Markets-Data Engineer. The place of posting will be at Hyderabad, Kolkata & Bangalore. Candidates who have completed Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	PwC
Required Qualifications	Graduate
Skills	AWS, Azure, or Google Cloud, Python, SQL
Category	Program and Project Management
Work Type	Onsite

They are seeking a highly motivated Data Engineer - Associate to join their dynamic team. The ideal candidate will have a strong foundation in data engineering, particularly with Python and SQL, and will have exposure to cloud technologies and data visualization tools such as Power BI, Tableau, or QuickSight. The Data Engineer will work closely with data architects and business stakeholders to support the design and implementation of data pipelines and analytics solutions. This role oƯers an opportunity to grow technical expertise in cloud and data solutions, contributing to projects that drive business insights and innovation.

Θ Positions: Assurance - Financial Markets-Data Engineer

Θ Job Location: Hyderabad, Kolkata & Bangalore

Θ Salary: As per company Norms

Θ Job Type: Full Time

Θ Requisition ID: 578105WD

Required Skills & Qualifications:

• 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.
• Basic understanding of data modeling, ETL processes, and data warehousing concepts.
• Strong analytical and problem-solving skills, with attention to detail.

Responsibilities:

• 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.

 

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