π Career Opportunity: Data Engineer at
Ameriprise India LLP – Noida (Hybrid)
Are you looking to build a strong career in Data Engineering with a global financial leader? Ameriprise India LLP is hiring skilled Data Engineers to support its data management and analytics initiatives across Asset & Wealth Management (AWM). If you have strong analytical skills, Python/SQL expertise, and experience with AWS tools, this role could be the perfect next step in your career.
π’ About Ameriprise India LLP
Ameriprise is a 125-year-old U.S.-based financial planning and asset management organization, headquartered in Minneapolis. With a strong global presence, Ameriprise India LLP plays a key role in delivering client-centric financial solutions across:
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Asset Management
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Wealth & Retirement Planning
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Insurance Protection
Ameriprise fosters a collaborative, inclusive, and growth-focused workplace where employees are encouraged to innovate, learn, and contribute meaningfully. With a deep commitment to ethics and community impact, Ameriprise provides an environment where you can build a long-term, rewarding career.
π― Role: Data Engineer
π Location: Noida, Uttar Pradesh (Hybrid)
π» Job Type: Full Time
π
Posted: 26 days ago
⏳ Apply Before: 21 November 2025
π Job ID: R25_0000003610
π Shift Timing: 2:00 PM – 10:30 PM
π Qualification: B.E/B.Tech (Preferred)
πΌ Experience: 1–3 Years
π About the Role
As a Data Engineer, you will support and test a cohesive data management strategy for both traditional and cloud-based solutions. You’ll work extensively with Data Lake capabilities, AWS cloud tools, and enterprise-level data governance frameworks.
This role involves translating business requirements into technical solutions, ensuring data quality, and supporting analytical workflows for global business lines. It’s a highly collaborative position requiring strong technical skills, stakeholder engagement, and project management capabilities.
π§© What You’ll Be Doing
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Deliver end-to-end analytical and data engineering support using Data Lake frameworks.
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Solve strategic and operational challenges through strong technical and problem-solving skills.
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Collaborate with internal/external stakeholders to define business scope and technical requirements.
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Ensure high-quality deliverables through rigorous testing, validation, and control processes.
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Build and maintain strong stakeholder relationships through regular communication and follow-ups.
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Advocate and implement Data Lake processes aligned with enterprise standards.
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Maintain compliance with data and model governance policies.
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Work with Domain Owners and QA Leads to define a consistent testing strategy for curated data.
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Identify data quality gaps and develop remediation plans with appropriate prioritization.
π§ What They’re Looking For
Required Qualifications
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1–3 years of industry experience in data engineering or related fields.
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Strong analytical and project management skills.
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Proficiency in Python and SQL (Athena preferred).
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Solid understanding of Data Warehousing concepts.
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Experience working with AWS cloud tools.
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Familiarity with Dataiku is an added advantage.
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Strong communication skills, with confidence engaging senior US stakeholders.
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Skilled in MS Excel, PowerPoint, and Word.
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Understanding of financial domain and industry trends.
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Ability to independently manage priorities in a dynamic environment.
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Experience with visualization tools like Power BI or Tableau is a plus.
π Why Join Ameriprise?
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Be part of a global financial powerhouse with a 125-year legacy.
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Work in an environment that values ethics, integrity, and innovation.
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Collaborate with talented professionals across the globe.
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Engage in cutting-edge data engineering initiatives within AWM.
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Enjoy a workplace built on inclusion, recognition, and employee well-being.
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Opportunity to grow your career in a highly respected financial domain.
π How to Apply
Interested candidates can apply directly through the Ameriprise career portal using the job requisition ID R25_0000003610 before 21 November 2025.
Ensure your resume highlights:
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Data engineering projects
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AWS experience
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Python/SQL proficiency
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Data Lake or Data Warehouse experience
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Any financial domain exposure
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π Final Thoughts
This is an excellent opportunity for early-career professionals seeking to advance in data engineering within the financial services industry. At Ameriprise, you’ll contribute to high-impact data initiatives while benefiting from a supportive and growth-oriented workplace.
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