Project Role: Data EngineerProject Role Description:

- Resource should have 5+ years of work experience. Strong data warehouse knowledge + Data Analytics in Banking Domain, along with hands-on SQL + Python Skills + DQ.
- Develop, optimize, and maintain complex SQL queries.
- Good understanding of 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 Experience Required:

- 3 years

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 efficient 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.
- Optimize data workflows for scalability, performance, and cost efficiency.
- Handle high-volume and high-velocity datasets with efficient processing strategies.
- Mentor junior team members to foster their professional growth and development.
- Continuously evaluate and improve data engineering processes to enhance team productivity.

Qualified & Technical Skills:Must To Have Skills:

- Proficiency in Python (Programming Language).
- Strong experience in building scalable data pipelines and distributed data processing systems.
- Solid understanding of databases (SQL and NoSQL) and advanced query optimization techniques.
- Experience with ETL/ELT frameworks and data integration patterns.
- Hands-on experience with multi-cloud platforms (AWS, Azure, or Google Cloud) and cloud-native data services.
- Experience with workflow orchestration tools (e.g., Apache Airflow or equivalent).
- Familiarity with CI/CD tools (Git, Jenkins) and containerization (Docker).
- Strong understanding of performance tuning, scalability, and distributed system design principles.
- Understanding of data quality, data lineage, and governance frameworks.

Good To Have Skills:

- Exposure to programming languages such as Java or Scala in distributed environments.

Additional Information:

- The candidate should have a minimum of 5 years of experience in Python (Programming Language).
- A 15 years full-time education is required.

Locations:

Job No. ATCI-5609896-S2028398 | Indore | Required Skill: Python Frameworks

📌 Data Engineer (Indore)
🏢 Accenture
📍 Indore