524 | Senior Data Support Engineer

Intetics; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Intetics Inc. is seeking a Senior Data Support Engineer to join a distributed professional team delivering custom software solutions in the United States.

The role emphasizes data engineering proficiency across Snowflake, Python, SQL, dbt, and AWS, with a strong track record in delivering data-driven projects. Ideal candidates will have extensive exposure to data modelling, ELT development, data warehousing, and QA/UAT processes, plus experience with Git and GitHub workflows to support robust

Qualifications

• Must have at least 5–6 years of experience with Data Engineering.
• Proven track record as a Data Engineer with demonstrable projects and solutions delivered.
• At least 5–6 years of experience with SQL for complex data manipulation, transformation and analysis.
• At least 5–6 years of experience with dbt core or dbt Cloud.
• At least 5–6 years of experience with Snowflake.
• At least 5–6 years of experience with Python for scripting and custom data ingestion.
• At least 5–6 years of experience with data modelling, ELT development, and data warehousing techniques.
• At least 5–6 years of experience with Git and GitHub Pull Request reviews.
• At least 5–6 years of experience supporting QA and User Acceptance Testing processes.

Skills

Snowflake

Python

SSIS

SQL Server

DBT

AWS

SQL

dbt Core/Cloud

Git

GitHub Pull Request

QA/UAT testing

Data modelling

ELT development

Data warehousing

Data ingestion scripting

Tools

GitHub Actions

Fivetran

Terraform

AWS Lambda

S3

ECS

Power BI

Azure Data Factory

Logic Apps

Job description

the company 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 SeniorData 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.