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 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Project Role Description
As a Python Data Engineer, you will be responsible for designing, developing, and maintaining highly scalable data pipelines, backend data services, and cloud-based data solutions. Your typical day will involve working with cross-functional teams to ingest, process,



and transform large volumes of data across multiple systems, ensuring high performance, reliability, and data quality.
You will leverage Python and multi-cloud technologies to build robust and effective data workflows, with a strong focus on scalability, optimization, and low-latency processing. A cloud-first and agile mindset, combined with continuous improvement, will be key to delivering enterprise-grade data solutions.

Roles & Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute to key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Design and develop highly scalable data pipelines and ETL/ELT processes for large-scale data processing.
Build and maintain data services/APIs for seamless data consumption across systems.
Ensure data quality, validation, and consistency across pipelines.
Optimi

📌 Data Engineer (Indore)
🏢 Accenture
📍 Indore