Exadel
AI-first global tech company
SeniorDataEngineer(Snowflake)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer (Snowflake) at Exadel. Skills: Snowflake, Data Engineering, ETL, Data Modeling, Medallion Architecture. Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce. io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory. Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting”
What You'll Achieve.
ensure high-quality, structured data for analytics and reporting
Industry & Context.
analytical and problem-solving skills
Minimum 4-hour overlap with US Eastern Time
What They're Looking For.
Must Have
Hands-on experience with Snowflake, Coalesce. io, Airbyte, SQL Server/SSIS, and Azure Data Factory, understanding of Medallion architecture and dimensional data modeling, Practical experience in building ETL pipelines and transforming data for analytics, Familiarity with Jira and GitHub for collaborative work, analytical and problem-solving skills, ability to collaborate across teams, Minimum 4-hour overlap with US Eastern Time
Nice to Have
Exposure to Power BI, Experience with Salesforce data integration, Background in higher education / ed-tech domains, English level Intermediate/Upper-Intermediate
What You'll Do.
and maintain scalable data pipelines using Snowflake
with some use of Azure Data Factory
Build and maintain dimensional data models to ensure high-quality
structured data for analytics and reporting
Implement Medallion architecture in Snowflake
Ensure reliable ETL processes
and data integration workflows
Help improve data modeling practices and address weaknesses in dimensional modeling
How You'll Work.
Team & Collaboration
Collaborate with teams using Jira for task tracking and GitHub for code repository management; ability to collaborate across teams
Full Job Description
Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A U.S.-based education services provider offering online and campus-based post-secondary education, primarily serving military personnel, veterans, and public service communities. The organization delivers degree and certificate programs across disciplines such as nursing, health sciences, business, IT, and liberal arts. The customer operates facilities and partner institutions across the United States. The primary product areas to work with are learning management systems, student enrollment, and academic operations on web and mobile platforms. What You’ll Do Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory. Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting. Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers. Collaborate with teams using Jira for task tracking and GitHub for code repository management. Ensure reliable ETL processes, data transformations, and data integration workflows. Help improve data modeling practices and address weaknesses in dimensional modeling. What You Bring Hands-on experience with Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and Azure Data Factory. Strong understanding of Medallion architecture and dimensional data modeling. Practical experience in building ETL pipelines and transforming data for analytics. Familiarity with Jira and GitHub for collaborative work. Strong analytical and problem-solving skills, with abil
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