Senior Data Support Engineer

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July 4

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Intetics

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Artificial Intelligence • Software Development • Enterprise

Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more.

501 - 1000 employees

Founded 1995

🤖 Artificial Intelligence

🏢 Enterprise

📋 Description

• Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions • looking for a Senior Data Support Engineer to enrich its team with a skilled professional.

🎯 Requirements

• Must to have at least 5-6 years of experience with Data Engineering • Must to have at least 5-6 years of experience with Snowflake, Python, SSIS, SQL Server, DBT, AWS. • Proven track record as a Data Engineer with demonstrable experience in projects and solutions you’ve delivered • Must to have at least 5 -6 years of experience with SQL for complex data manipulation, transformation, and analysis. • Must to have at least 5 -6 years of experience with dbt core or dbt Cloud • Must to have at least 5-6 years of experience with snowflake • Must to have at least 5 -6years of experience with Python for scripting and custom data ingestion • Must to have at least 5 -6 years of experience with data modelling, ELT development, and data warehousing techniques. • Must to have at least 5 -6 years of experience with Git and GitHub Pull Request • Must to have at least 5 -6 years of experience with supporting QA and User Acceptance Testing processes. • Good to have experience with GitHub Action • Good to have experience with Fivetran. • Good to have experience with Terraform. • Good to have experience with with AWS cloud services, particularly (e.g., AWS Lambda, S3 and ECS). • Good to have experience with Power BI • Good to have experience with Azure Data Factory and Logic Apps. • Good to have experience with the entertainment or ticketing industry. • Good to have experience of data protection laws such as GDPR, CCPA and SOX.