Data Engineer

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:  

Department:  

Location:  

Data Engineer

Innovation Technology

Bengaluru

Terms:  

Full Time – Hybrid work model (subject to Berkadia policy changes) 

Split Shift (3:00pm to 12:00am)

Working Hours   

Reports To                    

The Opportunity 

As a member of the Data Pipeline team you will be at the Center of building our platform that enables us to redefine the Commercial Real Estate industry. We are building a data pipeline that merges with the tested design of data warehousing and the latest big data technologies. You will own features and modules end to end — designing basic solutions, delivering high-quality maintainable code, and 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 –   

Essential Duties (Primary Responsibilities) include the following:

• Conduct data research of companies in the commercial real estate industry
• Research new knowledge and collaborate on solutions for assigned projects; share learnings with the team and peers
• Implement and release data applications in AWS using big data technologies for owned features and modules
• Provide valuable input and support during design and planning; help teammates ensure design specifications are met
• Deliver high-quality, easy-to-maintain code; debug and resolve issues within the feature or module area of responsibility
• Identify feature and module dependencies, critical paths, and risks; propose mitigation plans
• Mentor co-workers within areas of expertise; present knowledge informally to peers
• Other duties as assigned

Your Qualification

Education:  

• Any bachelor’s degree (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:

• Bachelor’s degree or higher
• 2–5+ years of professional experience in data engineering or a closely related field.
• 2–4 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.
• Working knowledge of scalable languages such as Python, Scala, or R for data processing and algorithm implementation
• Strong expertise in SQL (complex queries, joins, constraints, views, stored procedures, and performance-aware development)
• Excellent interpersonal, verbal and written communication skills; able to justify technical decisions and achieve peer consent
• Experience mentoring peers within areas of expertise and participating in code reviews
• Strong logical, analytical, problem solving and reporting skills