DataOps Engineer

High Priority Requirement

must

We have a new offshore requirement these are high priority. Our client is looking to interview ASAP since he just had a few associates in India give notice after supporting them for years.

• Rate

  : They are looking for mid/senior level experience so let us know if their budget is way off or if this is doable with the multiple openings.

• Hours

  : 8am - 4pm EST, 4am -- 1pm EST Looking for candidates who can fulfill these shifts; they have openings for both shifts

• Interview Rounds

  : 3 rounds

Top Skills

• Strong SQL
• Strong Python

Nice to Have

• Snowflake
• Databricks
• dbt
  

Position Summary

Senior Data Operations Engineer

SQL, Python and Optimization

Essential Responsibilities

• Collaborate with business partners to comprehend external system configurations and establish connectivity, facilitating downstream data engineering development
• Oversee the entire data pipeline, from data collection to deployment of data models
• Monitor data pipeline performance and support bug fixing and performance analysis along the data pipeline; resolve any issues or bottlenecks
• Extensive experience in optimization and cost savings, with a proven track record of effectively managing and enhancing data workflows to reduce overhead and improve operational efficiency in data operations
• Perform end-to-end unit testing and code reviews to promote data integrity across a variety of products built by the development team
• Identify and implement process improvements, such as automating manual processes
• Provide technical support and training to end-users on data access and usage
• Be comfortable presenting to large groups in public settings with high visibility
• Be a strong advocate for a culture of process and data quality across development teams
• Follow an agile development methodology
• Other duties as assigned
  

Minimum Experience and Qualifications

• Bachelors degree in Computer Science or Engineering; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous relevant work experience
• Five (5) years of relevant experience in a data role working with data warehouses and data analytics tools
• Familiarity with cloud services (AWS, Azure, or Google Cloud) and understanding of data warehousing solutions like Snowflake
• Proficiency with SQL skills
• Experience with modern Extract/Load/Transform (ELT) orchestration tools like Azure Data Factory or Airflow
• Experience with git and git-based workflows
• Experience in optimization and enhancement of cloud environments
• Knowledge of data modeling, data warehousing, and data architecture principles
• Excellent problem-solving skills and the ability to work in a team environment
• Strong communication skills and the ability to convey complex data issues in clear terms to non-technical stakeholders
• Must be legally eligible to work in the country in which the position is located
  

Preferred Experience and Qualifications

• Experience implementing best-practices for performance tuning and data processes, optimizing resource utilization, and implementing cost-effective solutions to enhance data operations
• Strong knowledge of

  Python programming

• Proven track record of successfully contributing to a project that transitioned a large enterprise to a new cloud data warehouse, like Snowflake
• Prior airline experience