Job Description: Data Engineer (Snowflake) Location: Charlotte, NC Work Model: Onsite Experience: 10–12 Years Duration : 37 Months
Job Summary We are seeking an experienced Data Engineer with strong Snowflake expertise and AWS API integration experience to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate will have hands-on experience with Snowflake, AWS services, AWS Glue, AWS Lambda, and Apache Airflow to build efficient data pipelines, automate workflows, and support enterprise data integration and analytics initiatives. Key Responsibilities
Design, develop, and maintain scalable data pipelines using Snowflake and AWS services.
Build and optimize data integration and transformation workflows using AWS Glue.
Develop serverless data processing solutions using AWS Lambda.
Implement and manage workflow orchestration and scheduling using Apache Airflow.
Integrate Snowflake with AWS services and APIs to enable seamless data exchange and processing.
Develop and maintain reliable ETL/ELT pipelines to support enterprise data warehousing and analytics requirements.
Optimize Snowflake queries, data models, and warehouse performance to improve efficiency and cost-effectiveness.
Implement data ingestion, transformation, and loading processes from multiple source systems.
Ensure data quality, consistency, security, and reliability across data pipelines.
Troubleshoot data pipeline failures, API integration issues, and performance bottlenecks.
Collaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.
Follow best practices for cloud security, data governance, monitoring, and operational support.
Document data architectures, integration workflows, and technical processes.
Required Skills
Strong hands-on experience with Snowflake.
Experience integrating Snowflake with AWS services and APIs.
Hands-on experience with AWS Glue, AWS Lambda, and Apache Airflow.
Strong understanding of ETL/ELT processes and data pipeline development.
Experience with cloud-based data warehousing and data integration.
Knowledge of AWS data services, cloud architecture, and serverless computing.
Strong troubleshooting, analytical, and problem-solving skills.
Excellent communication and collaboration skills.
Preferred Qualifications
Experience designing scalable and secure cloud data architectures.
Knowledge of Snowflake performance optimization, data sharing, and cost management.
Experience with API-based data ingestion and event-driven data processing.
Familiarity with data governance, data quality, and monitoring practices.
Note: Candidates should have strong core Snowflake skills, particularly in AWS services and API integration.
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $59.28/hr - $62.00/hr.