Project Role Description : --Resource should have 5+ years of work exp. Solid 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, your typical day involves managing and enhancing data infrastructure to support business needs. You will engage in designing and maintaining data pipelines, ensuring seamless integration of data from various sources.
Collaboration with team members to understand data requirements and deliver timely solutions is a key part of your routine. You will also monitor data workflows to maintain accuracy and efficiency, contributing to the overall data strategy within the organization. Your role is pivotal in enabling data-driven decision-making by ensuring reliable and accessible data systems.
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.
Design, develop, and maintain scalable data pipelines to support analytics and reporting.
Monitor and troubleshoot data workflows to ensure data quality and system reliability.
Document processes and best practices to facilitate knowledge sharing within the team.
Professional & Technical Skills
Must To Have Skills: Proficiency in Pyt
📌 Data Engineer (Gurugram)
🏢 Accenture services
📍 Gurugram
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