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, is looking for a Senior Data Support Engineer to enrich its team with a skilled professional.RequirementsMust 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. Would be a plus: 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.
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, is 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.
Would be a plus:
- 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.
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 built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies.
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 built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies.
