Senior Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 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 /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 (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.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Unlock true potential of your business with our best-in-class digital transformation solutions - data analytics, AI, cloud and decision automation, to achieve sustainable growth.
