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Senior Data Engineer

Berkadia India
CompanyBerkadia India
CategoryEngineering
LocationBengaluru
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted29 May 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
                             Berkadia Services India Pvt Ltd     -----------------------------------------------------------------------------------------------             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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