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 troubleshooting of data workflows to maintain seamless data availability and reliability, 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 scalable, reliable, and maintainable to support evolving business needs. - Assist junior team members by sharing knowledge and providing guidance on best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python Frameworks, Ab Initio. - Good To Have Skills: Experience with Ab Initio. - Strong expertise in building and optimizing data pipelines using Python libraries such as Pandas and NumPy. - Experience with integrating data from multiple sources including APIs, flat files, and cloud storage. - Familiarity with data warehousing concepts and handling large-scale data environments. - Ability to write complex SQL queries and optimize them for performance. Additional Information: - The candidate should have minimum 2 years of experience in Python Frameworks. - This position is based at our BBDC1A - NON-STPI location. - A 15 years full time education is required. 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at   www.accenture.com   Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race,