Why This Role Stands Out
You'll thrive as a Data Engineer at Boston Technology Corporation, shaping a cutting-edge cloud-native data platform using AWS, Snowflake, and Python, which offers excellent growth potential and valuable skills development. This hybrid role is perfect for experienced professionals who excel in data pipeline development, data modeling, and AWS technologies, and who are eager to contribute to a reputable company. Apply now to leverage your expertise and advance your career in this dynamic environment.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Boston, MA, United States
Posted
20 hours ago
SQLAWSETLScrumSnowflakeTableauAgileAirflowAzureData PipelineDatabricksKanbanPower BIPythondbt
Job Description
Data Engineer will help build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python.
Skills you bring:
A bachelor s or master s degree in computer science or a similar field
10 + years of data and software engineering experience including technical leadership
Strong Python programming skills with a focus on data engineering and data pipeline development
Expertise in ETL development using DBT, Snowflake, Snaplogic or similar tools
Strong skills in data modeling, building operational data stores and data warehouses
Excellent SQL skills, developing SQL stored procedures and functions
Strong hands-on experience in designing, building and maintaining AWS native applications
Hands-on experience with scheduling tools such as Airflow or Control-M
A bachelor s or master s degree in computer science or a similar field
10 + years of data and software engineering experience including technical leadership
Strong Python programming skills with a focus on data engineering and data pipeline development
Expertise in ETL development using DBT, Snowflake, Snaplogic or similar tools
Strong skills in data modeling, building operational data stores and data warehouses
Excellent SQL skills, developing SQL stored procedures and functions
Strong hands-on experience in designing, building and maintaining AWS native applications
Hands-on experience with scheduling tools such as Airflow or Control-M
Excellent communication and interpersonal skills.
Experience working in an Agile environment utilizing agile methodologies (Kanban and SCRUM) is a plus
Experience in data analytics building reports, dashboards, and visualizations with business intelligence tools such as Tableau or Power BI is a plus
Experience working in the Asset management industry is a plus
Experience working in an Agile environment utilizing agile methodologies (Kanban and SCRUM) is a plus
Experience in data analytics building reports, dashboards, and visualizations with business intelligence tools such as Tableau or Power BI is a plus
Experience working in the Asset management industry is a plus
Databricks, Azure and informatica.
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