Senior Data Engineer
Berkadia India
| Company | Berkadia India |
| Category | Engineering |
| Location | Bengaluru |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 29 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Berkadia Services India Pvt Ltd
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Integrity is Everything I We Take the Long View I We believe People Matter I We Stand for Excellence I We Love our Jobs I We Innovate
Job title: Senior Data Engineer
Department: Innovation Technology
Location: Bangalore
Full Time – Hybrid work model (subject to Berkadia policy changes)
Working Hours Split Shift (3:00pm to 12:00am)
The Opportunity
As a member of the Data Pipeline team you’ll be at the center of building our platform that enables us to redefine the Commercial Real Estate industry. We’re building a data pipeline that merges with the tested design of data warehousing and the latest big data technologies. You will be designing and building data projects while securing core data elements.
In this role, individual will be required to work on one or multiple aspects of Innovation verticals with the following key responsibilities –
Research new technology and share knowledge with team and peers
Design, implement and release data applications in AWS using big data technologies
Coordinate development efforts across the organization
Influence team in development standards and processes
Teach and mentor peers
Other duties as assigned
Your Qualification
Education:
Bachelor’s degree in information technology, Computer Science, Engineering, Information Systems, or a closely related technology field; or equivalent practical experience.
Preferably Post Graduate degree including MBA/PGDBM
Qualifications:
Qualifications to perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the experience required:
5+ years of professional experience in data engineering or a closely related field.
5 -8 years of hands-on Apache Spark experience (PySpark preferred)
Proven experience building and maintaining ETL/ELT pipelines using tools/frameworks such as PostgreSQL, Docker, Apache Airflow, AWS Step Functions, or similar.
1-2 years of experience building high-performance algorithms in scalable languages such as Scala, Python and R
Strong expertise in SQL (complex queries, performance tuning, analytical functions).
Excellent interpersonal, verbal and written communication skills
Experience mentoring junior engineers and performing code reviews
Strong logical, analytical, problem solving and reporting skills
AWS Elastic Map Reduce (EMR) experience
Experience with modern data warehousing and/or lakehouse architecture.
Familiarity with CI/CD, Git, and agile development practices.
Experience managing large scale products with a passion for quality/efficiency.
Perks & Benefits
Berkadia offers the best-in-class benefits to enable an enjoyable work environment for the employees. Key benefits i
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