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Arc helps you hire senior Data Engineering developers in North America. With 297 Data Engineering vetted programmers in North America available for hire on a full-time basis, we have one of the largest network of vetted talent. Our vetting process ensure you hire senior Data Engineering developers and experts in North America that you can trust.
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Want to expand your Data Engineering development team in North America? Here are some of our top remote senior Data Engineering developers in North America for you to browse, interview, and hire.
Result-driven Data Scientist Manager with over 15 years of diverse experience in information technology and data science. Proficient in leading data science teams and developing scalable products and workflows using machine learning and artificial intelligence. Led numerous projects resulting in increased efficiency and revenue growth. Skilled in project management, data analysis, and implementing ML/AI solutions. Excellent interpersonal, communication, and management skills with a proven ability to establish rapport with individuals at all professional levels.
I have an exceptional understanding of Data Engineering, Business Intelligence Data Warehouse, and Salesforce concepts. I possess profound knowledge of databases and cloud formation services. I am skilled in SQL writing, analytical skills, and reporting and dashboard development. I have experience in ETL processes and integrating and configuring partner connection apps. I am knowledgeable in Salesforce Sales Cloud and have experience in data modeling and data quality. I have worked as an Application Developer/ETL, Marketing Data Engineer, Data Engineer/Salesforce Admin Consultant, ETL Developer/Data Engineer, and ETL Developer. I have a Master's degree in Information Technology and certifications in Salesforce Admin and AWS Solution
An industrious, astute, and technically-focused data engineer with hands-on experience in building analytics tools that utilize the data pipeline to provide actionable insights. Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment. Passionate about finding solutions for challenging and complex data problems. Interested in working with Python, SQL, Airflow, dbt, AWS, Databricks, Snowflake.
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Arc helps you build your team with our network of full-time and freelance Data Engineering developers worldwide, spanning 190 countries.
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