Data Engineer

Project Role : Data Engineer Project Role Description : --Resource should have 5+ years of work exp. Strong data warhouse knowledge + Data Analytics in Banking Domain, along with hands on SQL+Python Skills + DQ - Develop, optimize, and maintain complex SQL queries - Good understanding on data, users and should be able to write python code to generate reports. - Build automated data pipelines using Python (Pandas, NumPy, SQLAlchemy, PySpark, etc.). - Integrate data from multiple sources (APIs, flat files, cloud storage, third-party systems). -Experience in Handling DWH & Cl Must have skills : Python Frameworks Good to have skills : Ab Initio Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Engineer, a typical day involves managing and enhancing data infrastructure to support business analytics and reporting needs. The role includes designing and maintaining data pipelines that efficiently collect, process, and integrate data from diverse sources. Collaboration with various teams to understand data requirements and ensure data quality is a key part of daily activities. The position demands continuous monitoring and optimization of data workflows to support timely and accurate data delivery, enabling informed decision-making across the organization. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather and analyze data requirements. - Ensure data pipelines are reliable, scalable, and maintainable to support business needs. - Assist junior team members by providing guidance and sharing best practices. - Continuously monitor data quality and implement improvements to maintain data integrity. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python Frameworks, Ab Initio. - Experience in developing and optimizing complex data pipelines using Python libraries such as Pandas and NumPy. - Strong knowledge of data warehousing concepts and hands-on experience with SQL query development and optimization. - Ability to integrate data from multiple sources including APIs, flat files, and cloud storage solutions. - Familiarity with data quality processes and techniques to ensure accuracy and consistency of data. - Experience with automation and orchestration of data workflows to improve efficiency and reliability. Additional Information: - The candidate should have minimum 2 years of experience in Python Frameworks. - This position is based at our PDC3C - SEZ location. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.