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Data Engineer
Berkadia
Bengaluru, IND
Full-time
Mid-Senior
Hybrid
Discovered 1 weeks ago
Data engineeringApache SparkPySparkETL/ELT pipelinesAWSPostgreSQL, Docker, or Apache Airflow
Free
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Data engineeringApache SparkPySpark
Role Overview
The Data Engineer will join the Data Pipeline team supporting a platform for the commercial real estate industry.
The role owns data features and modules end to end, from basic solution design through delivery of maintainable code and secure data elements.
Key Skills for This Role
Data engineeringApache SparkPySparkETL/ELT pipelinesAWSPostgreSQL, Docker, or Apache Airflow
Full Job Posting
Role Overview
The Data Engineer will join the Data Pipeline team supporting a platform for the commercial real estate industry.
The role owns data features and modules end to end, from basic solution design through delivery of maintainable code and secure data elements.
Terms and Schedule
- This is a full-time role with a hybrid work model, subject to company policy changes.
- The scheduled shift is 3:00 p.m. to 12:00 a.m.
Essential Duties
- Conduct data research on companies in the commercial real estate industry.
- Research new knowledge, collaborate on assigned solutions, and share learnings with colleagues.
- Implement and release AWS data applications using big data technologies.
- Support design and planning and help teammates meet design specifications.
- Write maintainable code, debug issues, and resolve problems in assigned feature areas.
- Identify dependencies, critical paths, and risks and propose mitigation plans.
- Mentor coworkers and present knowledge to peers.
Education and Experience
- A bachelor’s degree or higher in computer science, engineering, information systems, a related technology field, or equivalent practical experience is required.
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