Berkadia
Commercial Real Estate
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Berkadia. Skills: Data Engineering, Apache Spark, AWS, SQL. Research new technology. share knowledge with team”
Industry & Context.
logical; analytical; problem solving
Split Shift (3:00pm to 12:00am)
What They're Looking For.
Must Have
5+ years of professional experience in data engineering, 5 -8 years of hands-on Apache Spark experience, Proven experience building and maintaining ETL/ELT pipelines, expertise in SQL (complex queries, performance tuning, analytical functions), AWS Elastic Map Reduce (EMR) experience, Experience with modern data warehousing and/or lakehouse architecture, Familiarity with CI/CD, Git, and agile development practices
Nice to Have
Post Graduate degree including MBA/PGDBM, PySpark preferred, Scala, Python and R expertise, Experience managing large scale products
What You'll Do.
Research new technology
share knowledge with team
Implement data projects
Release data applications
Coordinate development efforts
Influence development standards
How You'll Work.
Team & Collaboration
share knowledge with team and peers; Coordinate development efforts across the organization; Influence team in development standards and processes; Teach and mentor peers
Communication Scope
interpersonal; verbal; written communication skills
Process & Methodology
agile development practices
Full Job 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: Department: Location: Senior Data Engineer Innovation Technology Bangalore Terms: Full Time – Hybrid work model (subject to Berkadia policy changes) Split Shift (3:00pm to 12:00am) Working Hours Reports To Philip Valent 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 us
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