Data Engineer - Python/Snowflake - BFSI - 7+ Years

Data Engineer - Python/Snowflake - BFSI - 7+ Years

We are looking for experienced Data Engineers with strong expertise in modern data engineering and cloud technologies. The ideal candidate will have strong hands-on experience in Python development, cloud platforms, Snowflake, data pipelines, and data processing frameworks. Candidates with domain experience across Risk Data, Trading Systems, Accounting Systems, Securities, or Asset Management will be preferred.

Location - Gurgaon / Mumbai / Pune.

Your Future Employer - A leading global investment management organization with a strong focus on technology, data, and modern engineering practices. The organization leverages high-quality data and cloud technologies to support critical investment, risk, trading, accounting, and asset management workflows.

Responsibilities -

1. Design, develop, and maintain scalable data engineering solutions using modern data engineering practices.

2. Build, enhance, and maintain robust data pipelines for the ingestion, transformation, processing, and delivery of data.

3. Develop production-quality solutions using Python for data engineering and processing requirements.

4. Work with cloud-based data environments across AWS and/or Azure.

5. Develop and optimize data solutions using Snowflake.

6. Apply strong data engineering and data processing concepts to build reliable and scalable data products.

Requirements -

1. Strong hands-on experience in Python development.

2. Proven experience working with AWS or Azure Cloud.

3. Hands-on expertise in Snowflake.

4. Strong understanding of core data engineering concepts.

5. Strong experience in designing, developing, and maintaining data pipelines.

6. Ability to work with large and complex datasets in modern cloud-based data environments.

What is in it for you -

1. Opportunity to work on modern data engineering initiatives within a global investment management environment.

2. Opportunity to work on complex data pipelines and large-scale data processing requirements.

3. Exposure to critical financial domains including Risk Data, Trading Systems, Accounting Systems, Securities, and Asset Management.

4. Opportunity to strengthen expertise across Python, cloud data engineering, Snowflake, data processing, and modern engineering practices.

5. Opportunity to work with modern technologies and contribute to scalable, production-grade data engineering solutions.

Reach Us - If you think this role is aligned with your career, kindly write me an email along with your updated CV on [email protected] for a confidential discussion on the role.

Disclaimer - Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate based on race, religion, colour, origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Note - We receive many applications daily, so it becomes difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.

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Keywords - Data Engineer, Data Engineering, Python, AWS, Azure, Cloud, Snowflake, Data Pipelines, Data Processing, Data Processing Frameworks, Kubernetes, CI/CD, DevOps, Risk Data, Trading Systems, Accounting Systems, Securities, Asset Management, Financial Services, Investment Management, Crescendo Global.