Data Ops Engineer

Job Responsibilities

• Work with stakeholders to develop end-to-end cloud-based solutions with a focus on applications and data
• Collaborate with BI/BA analysts, data scientists, data engineers, DevOps cloud engineers, product managers, and other stakeholders across the organization
• Ensure delivery of reliable software and data pipelines using data engineering best practices, including secure automation, version control, CI/CD, and proper testing
• Own the product and influence strategy by helping define the next wave of data insights and system architecture
• Guide teams in designing, building, testing, and deploying changes to existing software
• Ensure system security while updating code and improving performance
• Manage simultaneous updates to sections of data engineering code and other program components
• Use data to discover opportunities for automation
• Align with the latest data trends and adopt ways to simplify data insights
• Be an essential part of the analytics and data insights team, contributing to the technological and architectural vision
  

Basic Qualifications

• Minimum 3+ years of hands-on experience in data integration, DevOps, engineering, and analytics
• Degree in Science, Technology, Engineering, or Mathematics (STEM) or a related discipline
• Proficiency in SQL, Python, and distributed source control systems such as GIT
• Experience working in an Agile-Scrum environment
• Strong scripting skills in languages such as Ruby, PHP, Perl, and Python
• Excellent interpersonal, management, and decision-making skills
• Experience with ETL pipelines and workflow management tools like Airflow
• Strong understanding of dimensional modeling and data warehousing methodologies
• Ability to identify ways to improve data quality and reliability
• Commitment to teamwork and strong business communication skills
  

Preferred Qualifications

• Experience within the retail industry
• Passion for working with large data sets and deriving insights
• Familiarity with identifying tasks suitable for automation using data
• Awareness and alignment with the latest trends in data analytics and cloud-based data solutions