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:
In the role of Data Engineer, a typical day involves managing and enhancing data warehouse systems with a focus on banking domain analytics. The professional spends time developing and refining complex data queries, automating data workflows, and integrating diverse data sources to ensure seamless data availability. Collaboration with team members to understand data requirements and delivering timely reports is a key part of daily activities. The role also includes continuous monitoring and optimization of data pipelines to support business intelligence and decision-making processes effectively.
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 quality and consistency across various data sources and platforms.
- Assist in the documentation and maintenance of data engineering processes and standards.
- Support junior team members by sharing knowledge and providing guidance on technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python Frameworks, Ab Initio.
- Experience in developing and optimizing SQL queries for data extraction and transformation.
- Strong knowledge of data integration techniques involving APIs, flat files, and cloud storage.
- Hands-on experience with building automated data pipelines using Python libraries such as Pandas, NumPy, SQLAlchemy, and PySpark.
- Ability to work with data warehouse architectures and manage large-scale data environments.
Additional Information:
- The candidate should have minimum 2 years of experience in Python Frameworks.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
