Solutions Engineer - ETL Developer

Conch Technologies
Beverly, MA, United States
6 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Cloud Database Cloud Engineering Information Engineering Data Integration Extract Transform Load (ETL) Data Warehousing Database Queries Programming Tools
+10 more
Machine Learning Performance Tuning Query Optimization Power BI SQL Stored Procedures SQL Server Integration Services Azure Data Factory Large Language Models Tools for Reporting Data Pipelines

Requirements

5+ years of experience in Data Engineering, ETL Development, Data Warehousing, or a related field. Proven experience delivering end-to-end data integration and reporting solutions. Data Modeling & Warehousing Strong understanding of relational and dimensional data modeling techniques. Experience designing fact and dimension tables for enterprise reporting environments. Experience supporting modern cloud or traditional data warehouse platforms. SQL & Database Development Advanced SQL development skills, including: Complex queries Dynamic SQL Stored procedures Query optimization and performance tuning ETL & Data Integration Hands-on experience with ETL/ELT development tools, preferably: Azure Data Factory SQL Server Integration Services (SSIS) Business Intelligence Experience developing: Power BI dashboards Power BI paginated reports Operational and analytical reporting solutions Cloud & Infrastructure Experience deploying and supporting solutions within Microsoft Azure environments. Understanding of cloud-based data architectures and administration. AI & Automation Experience utilizing AI/ML solutions or Large Language Model (LLM) APIs to: Improve data quality Automate transformation processes Enhance predictive analytics and data modeling capabilities Problem Solving Strong troubleshooting and analytical skills. Ability to identify, diagnose, and resolve data pipeline and integration issues efficiently. Communication Excellent verbal and written communication skills. Strong organizational, prioritization, and time management abilities. Ability to manage multiple projects and priorities simultaneously.

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