Data Ops Analyst

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We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.

Requirements

We are seeking a skilled Data Ops Analyst with over 3 years of experience to join our team. The ideal candidate will have hands-on experience with modern tech stacks and a strong background in optimizing data operations and pipelines. This role requires proficiency in various operating systems, programming languages, and data platforms. The Data Ops Analyst will work with business intelligence tools, data acquisition and transformation technologies, and automated workflow services to ensure efficient and reliable data management.

Key Responsibilities:

• Tech Stack Management: Work with modern technology stacks including Linux, iOS, Ruby, Python, AWS, Apache, MongoDB, Redshift, Snowflake, Fivetran, and API services.
  
• Programming and Optimization: Utilize advanced operating systems and programming languages (Linux/iOS/JavaScript/Python/Ruby) to optimize performance and efficiency.
  
• Business Intelligence: Work with BI platforms such as Looker and Tableau to generate actionable insights and reports.
  
• Data Transformation: Manage data acquisition and transformation using tools like FiveTran and DBT.
  
• ETL Pipelines: Develop and maintain optimized and efficient ETL pipelines using Databricks, Snowflake, and other technologies.
  
• Workflow Automation: Implement and manage fully automated workflow scheduling and orchestration using Apache Airflow.
  
• Data Quality: Work with data observability and quality platforms such as Monte Carlo or Acceldata to ensure data integrity and reliability.
  
• AWS and Containers: Utilize AWS stack, including container and serverless technologies, for deployment and management of data operations.
  
• CI/CD Pipelines: Deploy and manage CI/CD pipelines using GitHub or Jenkins.
  
• Collaboration: Work collaboratively with cross-functional teams to meet project goals and timelines.
  
• Analysis and Problem-Solving: Apply strong analytical and technical skills to troubleshoot and resolve data-related issues.
  

Qualifications:

• 3+ years of experience with modern tech stacks including Linux, iOS, Ruby, Python, AWS, Apache, MongoDB, Redshift, Snowflake, Fivetran, and API services.
  
• Proficiency in advanced operating systems and programming languages (Linux/iOS/JavaScript/Python/Ruby).
  
• Experience with business intelligence platforms such as Looker and Tableau.
  
• Hands-on experience with data acquisition and transformation tools like FiveTran and DBT.
  
• Experience with optimized ETL pipelines using Databricks, Snowflake, etc.
  
• Experience with automated workflow scheduling and orchestration using Apache Airflow.
  
• Experience with data observability and quality platforms like Monte Carlo or Acceldata.
  
• Experience with AWS stack and container/serverless technologies.
  
• Experience deploying CI/CD pipelines using GitHub or Jenkins.
  
• Excellent communication skills and the ability to work effectively with cross-functional teams.
  
• Strong analytical and technical skills with attention to detail and problem-solving abilities.
  

Benefits