Career Opportunities: Senior Data Engineer

5 days ago

Mexico, India Incedo Inc Full time US$ 1,20,000 - US$ 1,50,000 per year
Job Description

Company Overview

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science & healthcare industries.

Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.

Our Mission is to enable our clients to maximize business impact from technology by:

  • Harnessing the transformational impact of emerging technologies
  • Bridging the gap between business and technology
Role Description

We are looking for a Senior Python Developer with Databricks expertise to join our BSR (Billing System Replacement) team. The role is critical for our client AssetMark, who are modernizing their billing platform and moving towards a data-first architecture. This is a full-time ODC-based role, with strict five-day office presence required due to client compliance. Working hours are aligned to 1 PM 10 PM IST, supporting overlap with U.S. stakeholders. The right candidate will be highly skilled in Python and Databricks while also capable of understanding legacy codebases built on .NET and Azure.

Technical Skills Key Responsibilities
  • Build and optimize data pipelines on Databricks using Python, PySpark, and Delta Lake.
  • Work with client stakeholders and offshore leads to design scalable data engineering solutions.
  • Analyze and understand existing .NET/Azure backend systems, ensuring smooth interoperability.
  • Participate in Agile ceremonies, deliver high-quality code, and support knowledge transfer.
  • Collaborate closely with QA, DevOps, and product teams in an ODC setup.
  • Ensure compliance with data governance and security guidelines.
Nice-to-have skills

Good to Have

  • Experience with Azure Data Factory (ADF) or equivalent orchestration tools.
  • CI/CD exposure for data pipelines (Azure DevOps, GitHub).
  • BFSI/WealthTech domain exposure.
Qualifications Required Skills
  • 7 years of professional development experience.
  • Strong hands-on expertise with Python, Databricks, PySpark, Delta Lake.
  • Experience with SQL-based ETL workflows and data engineering best practices.
  • Exposure to .NET (C#) and Azure Cloud (secondary skills).
  • Strong problem-solving and communication skills to work with global teams.
Company Value

We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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