Boston, Massachusetts
•
Today
Job Requirements - Senior Java developer (Backend focus) - AWS Cloud Development - Front end ReactJS experience - API development - DB Scripting, DB model & setup
Full-time
SSB-Databrick Eng
Full Time
On-site
Xoriant Corporation
Fitment
Dice Job Match Score™
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Job Details
Skills
- Real Estate Skills
- Analytics
- Reporting
- Data Engineering
- Extract
- Transform
- Load
- ELT
- Python
- PySpark
- SQL
- Apache Spark
- Data Processing
- Data Modeling
- Data Quality
- Workflow
- Unity
- Amazon S3
- Amazon Web Services
- Cloud Computing
- Data Architecture
- Data Integration
- JDBC
- Batch File
- Streaming
- Unstructured Data
- JSON
- Computerized System Validation
- Apache Parquet
- Advanced Analytics
- Artificial Intelligence
- Databricks
- Machine Learning (ML)
- Generative Artificial Intelligence (AI)
- Collaboration
- Predictive Analytics
- Trend Analysis
Summary
Job Requirements
.Data Engineer (Databricks & AWS) - Realty Data Platform
Role Summary
We are seeking a Data Engineer to help design, build, and scale a modern Realty Data Platform on AWS and Databricks. This role will be responsible for developing data pipelines, integrating data from multiple internal and external sources, and creating trusted datasets that support analytics, reporting, and AI/ML-driven insights across the Real Estate organization. The ideal candidate combines strong hands-on data engineering skills with experience in cloud-native architectures, large-scale data processing, and modern lakehouse platforms.
Required Skills & Experience
Data Engineering
Databricks
AWS
Data Integration
AI/ML & Advanced Analytics
Ability to collaborate with business teams to identify opportunities for predictive analytics, trend analysis, document intelligence, and operational insights
.Data Engineer (Databricks & AWS) - Realty Data Platform
Role Summary
We are seeking a Data Engineer to help design, build, and scale a modern Realty Data Platform on AWS and Databricks. This role will be responsible for developing data pipelines, integrating data from multiple internal and external sources, and creating trusted datasets that support analytics, reporting, and AI/ML-driven insights across the Real Estate organization. The ideal candidate combines strong hands-on data engineering skills with experience in cloud-native architectures, large-scale data processing, and modern lakehouse platforms.
Required Skills & Experience
Data Engineering
- Strong experience building ETL/ELT pipelines.
- Proficiency in Python, PySpark, and SQL.
- Experience working with Apache Spark and distributed data processing frameworks.
- Knowledge of data modeling, data quality, and data transformation techniques.
Databricks
- Hands-on experience with the Databricks Lakehouse Platform.
- Experience with Delta Lake, Databricks Workflows, and Unity Catalog.
- Ability to develop, optimize, and troubleshoot Databricks notebooks and jobs.
AWS
- Experience with AWS data services such as:
- Amazon S3
- AWS Glue
- Lambda
- IAM
- Event-driven integrations and APIs
- Understanding of cloud-native data architecture patterns.
Data Integration
- Experience integrating data through REST APIs, JDBC connections, batch file transfers, or streaming mechanisms.
- Familiarity with structured, semi-structured, and unstructured data formats including JSON, CSV, and Parquet.
AI/ML & Advanced Analytics
- Experience preparing and engineering datasets for machine learning and AI workloads.
- Understanding of AI/ML concepts, feature engineering, and model lifecycle processes.
- Exposure to Databricks ML, MLflow, vector search, or Generative AI capabilities is a plus.
Ability to collaborate with business teams to identify opportunities for predictive analytics, trend analysis, document intelligence, and operational insights
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: xorca001
- Position Id: XAAXAAGBP100624EXTERNALENIN
- Posted 3 hours ago
Company Info
Xoriant is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia. From Tech Startups to Fortune 100 Enterprises, we enable innovation, accelerate time to market, and ensure client competitiveness across industries. Across all our focus areas – platform engineering, cloud, data & and AI, and Security – every solution we develop benefits from our product engineering DNA and culture of innovation. It also includes successful methodologies, framework components, and accelerators for rapidly solving critical client challenges. For 30 years and counting, we have taken great pride in the longlasting, deep relationships we have with our clients.
For further information about Xoriant, please visit our website
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