Senior Data Engineer

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Job Title: Senior Data Engineer 

Location: Remote

Job-Type: Contract to Hire (must be a US Citizen or Green Card Holder)

Job Summary
Compass Technology is a dedicated internal team for Compass Group delivering enterprise-wide initiatives that support our diverse customer base and enhance our business operations.

Our domain encompasses a vast spectrum of opportunities, from hands-on desk support to Cybersecurity, Cloud Engineering, AI, and Modern Application development. We are committed to building robust IT infrastructures, driving digital transformation, and much more.

Compass Group is the leading foodservice management and support services company, with $26 billion in revenue in 2023.

In 2023, Compass Group was named one of Forbes’ America’s Best Large Employers along Springbuk’s Healthiest 100 Workplaces in America (since 2019).

Job Summary
We are looking for a hands-on Senior Data Engineer with expertise in developing data ingestion pipelines. This role is crucial in designing, building, and maintaining our data infrastructure, focusing on creating scalable pipelines, ensuring data integrity, and optimizing performance.

Key skills include strong Snowflake expertise, advanced SQL proficiency, data extraction from APIs using Python and AWS Lambda, and experience with ETL/ELT processes. Workflow automation using AWS Airflow is essential, and experience with Fivetran and DBT is a plus.

Job Responsibilities

• Design, build, test, and implement scalable data pipelines using Python and SQL.
• Maintain and optimize our Snowflake data warehouse’s performance, including data ingestion and query optimization.
• Extract data from APIs using Python and AWS Lambda and automate workflows with AWS Airflow.
• Perform analysis and critical thinking to troubleshoot data-related issues and implement checks/scripts to enhance data quality.
• Collaborate with other data engineers and architect to develop new pipelines and/or optimize existing ones.
• Maintain code via CI/CD processes as defined in our Azure DevOps platform.

   

Job Qualifications

• 7+ years of experience in Data Engineering roles, with a focus on building and implementing scalable data pipelines for data ingestion.
• Expertise in Snowflake, including data ingestion and performance optimization.
• Strong SQL skills for writing efficient queries and optimizing existing ones.
• Proficiency in Python for data extraction from APIs using AWS Lambda, Glue, etc.
• Experience with AWS services such as Lambda, Airflow, Glue, S3, SNS, etc.
• Highly self-motivated and detail-oriented with strong communication skills.
• Familiarity with ETL/ELT processes.

Experience with Fivetran and DBT is a plus.

Job Title: Senior Data Engineer 

Location: Remote

Job-Type: Contract to Hire (must be a US Citizen or Green Card Holder)

Job Summary
Compass Technology is a dedicated internal team for Compass Group delivering enterprise-wide initiatives that support our diverse customer base and enhance our business operations.

Our domain encompasses a vast spectrum of opportunities, from hands-on desk support to Cybersecurity, Cloud Engineering, AI, and Modern Application development. We are committed to building robust IT infrastructures, driving digital transformation, and much more.

Compass Group is the leading foodservice management and support services company, with $26 billion in revenue in 2023.

In 2023, Compass Group was named one of Forbes’ America’s Best Large Employers along Springbuk’s Healthiest 100 Workplaces in America (since 2019).

Job Summary
We are looking for a hands-on Senior Data Engineer with expertise in developing data ingestion pipelines. This role is crucial in designing, building, and maintaining our data infrastructure, focusing on creating scalable pipelines, ensuring data integrity, and optimizing performance.

Key skills include strong Snowflake expertise, advanced SQL proficiency, data extraction from APIs using Python and AWS Lambda, and experience with ETL/ELT processes. Workflow automation using AWS Airflow is essential, and experience with Fivetran and DBT is a plus.

Job Responsibilities

• Design, build, test, and implement scalable data pipelines using Python and SQL.
• Maintain and optimize our Snowflake data warehouse’s performance, including data ingestion and query optimization.
• Extract data from APIs using Python and AWS Lambda and automate workflows with AWS Airflow.
• Perform analysis and critical thinking to troubleshoot data-related issues and implement checks/scripts to enhance data quality.
• Collaborate with other data engineers and architect to develop new pipelines and/or optimize existing ones.
• Maintain code via CI/CD processes as defined in our Azure DevOps platform.

   

Job Qualifications

• 7+ years of experience in Data Engineering roles, with a focus on building and implementing scalable data pipelines for data ingestion.
• Expertise in Snowflake, including data ingestion and performance optimization.
• Strong SQL skills for writing efficient queries and optimizing existing ones.
• Proficiency in Python for data extraction from APIs using AWS Lambda, Glue, etc.
• Experience with AWS services such as Lambda, Airflow, Glue, S3, SNS, etc.
• Highly self-motivated and detail-oriented with strong communication skills.
• Familiarity with ETL/ELT processes.

Experience with Fivetran and DBT is a plus.

To Apply for this Job Click Here

Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.