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Data Engineer - Snowflake & AWS
Data Engineer - Snowflake & AWSArtech LLC • St.Louis, MO
Data Engineer - Snowflake & AWS

Data Engineer - Snowflake & AWS

Artech LLC • St.Louis, MO
2 days ago
Job type
  • Full-time
Job description

Location : St. Louis, MO

Salary Range : Competitive

Introduction

Join our team as an IT Engineer, where you'll contribute to innovative projects and collaborate with a dynamic team. We're looking for a passionate individual who thrives in a fast-paced environment and is eager to make a meaningful impact.

Required Skills & Qualifications

  • Applicants must be able to work directly for Artech on W2.
  • Mandatory 10+ years of experience required.
  • 1 year of experience working with Matillion
  • 5 years in an ETL / ELT development role utilizing industry-recognized ETL / ELT tools
  • 2 years of developing and supporting a cloud-based data platform - Snowflake
  • 7 years of experience with snowflake
  • 7 years of experience with AWS
  • Experience with AWS lambda functions and data pipeline
  • Experience implementing Change Data Capture (CDC)
  • Strong knowledge and experience with SQL programming, including stored procedures, triggers, functions, and error trapping
  • Excellent verbal and written communications skills and ability to multi-task within a team-oriented environment

Preferred Skills & Qualifications

  • Experience with Oracle Data Integrator
  • Experience building self-service reporting solutions using business intelligence software (e.g., OBIEE, Looker, Power BI, etc.)
  • Ability to maintain documentation on ELT process and procedures
  • Day-to-Day Responsibilities

  • Design, implement, and maintain end-to-end ELT pipelines that extract data from various sources and load it into data warehouses or lakes
  • Develop and maintain data models, schemas, and storage solutions, often using tools like dbt, to organize and prepare data for analysis
  • Build and manage integrations with internal and external data sources and APIs
  • Implement data validation, quality checks, and security controls to ensure data accuracy and compliance
  • Configure and monitor data infrastructure, including databases, data warehouses (e.g., Snowflake, BigQuery), and cloud storage solutions
  • Fine-tune queries and processes to ensure the ETL jobs run efficiently and minimize load times
  • Monitor scheduled jobs, investigate failures, and debug issues that arise during the ETL process
  • Continuously maintain and improve existing ETL processes to ensure they remain efficient and meet evolving business needs
  • Work well in a team collaborative setting, coordinating work and addressing work prioritization, escalating to management when necessary
  • Company Benefits & Culture

  • Inclusive and diverse workplace environment
  • Opportunities for professional growth and development
  • Supportive team culture that values collaboration and innovation
  • For immediate consideration please click APPLY to begin the screening process with Alex.

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