Job Description
PwC
Data Engineer - Associate
Full-Time
Hyderabad, India
PwC are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Any Degree
Freshers
PwC is hiring for the role of Data Engineer - Associate (Assurance - Financial Markets)!Responsibilities of the Candidate:Data Engineering:Develop, optimize, and maintain data pipelines and workflows to ensure efficient 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. Basic understanding of data modeling, ETL processes, and data warehousing concepts. Strong analytical and problem-solving skills, with attention to detail.
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
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