Data Engineer

Lorven Technologies Inc
Hartford, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 167K

Job location

Hartford, United States of America

Tech stack

Data analysis
Big Data
Google BigQuery
Cloud Database
Computer Programming
Information Engineering
ETL
Data Warehousing
Database Design
Dimensional Modeling
Distributed Computing Environment
Python
SQL Databases
Google Cloud Platform
GIT
PySpark
Data Management
Software Version Control
Data Pipelines

Requirements

We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, Google Cloud Platform (GCP), and BigQuery to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate will have experience building enterprise-grade data platforms, transforming large datasets, and supporting analytics and reporting initiatives in a cloud environment. Bachelor's degree in related field 6 - 10 years of experience in Data Engineering or related roles. Strong programming experience in Python. Hands-on experience with PySpark and distributed data processing frameworks. Extensive experience working with BigQuery for data warehousing and analytics. Strong experience with Google Cloud Platform (GCP) services. Proficiency in SQL and database design principles. Experience building and maintaining ETL/ELT pipelines. Knowledge of data modeling, data warehousing, and dimensional modeling concepts. Experience with version control systems such as Git. Strong analytical, troubleshooting, and problem-solving skills.

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