Data Engineer - Quincy, MA (Onsite) - 12+ Months
TMS LLC
Quincy, MA, United States
18 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$127,300.0 - $165,500.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Amazon Web Services
Amazon S3
Batch Files
Data as a Services
Data Architecture
Information Engineering
Data Integration
Data Transformation
Distributed Computing Environment
Event-Driven Programming
Identity and Access Management
+19 more
Java Database Connectivity
JSON
Machine Learning
Standard Sql
Search Technologies
Unstructured Data
Parquet
Data Processing
Feature Engineering
Apache Spark
Generative AI
Data Lakes
Pyspark
AWS Glue
Machine Learning Operations
Restful APIs
Artificial Intelligence Markup Language (AIML)
Data Pipelines
Databricks
Job description
- 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 AIML driven insights across the Real Estate organization, Overview: The Sr. Project Engineer role will oversee and execute the project controls and management of a multiple discipline, EPC project focused in the Mining Industry. Your ma…
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Requirements
- The ideal candidate combines strong hands-on data engineering skills with experience in cloud native architectures largescale data processing and modern lakehouse platforms, * Data Engineering
- Strong experience building ETLELT 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
- Handson 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 cloudnative 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
- AIML Advanced Analytics
- Experience preparing and engineering datasets for machine learning and AI workloads
- Understanding of AIML 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
About the company
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely…
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