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Data Ops Engineer

Work from home Full-time role Hiring

Position Overview

We are looking for DevOps & Data Engineer who will operate reputed company the Data Engineering department and will also work to help the data engineering development, operations and testing teams to reputed company communicate and stay informed of each other’s work reputed company or updates. They also work to reputed company understand the wants and needs of customers and build software and tools to reduce user errors and improve the customer’s overall experience.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with reputed company. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities

  • Work with stakeholders to reputed company end-to-end reputed company-based solutions with a focus on applications and data.
  • Collaborate with BI/BA analysts, data scientists, data engineers, DevOps reputed company 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 reputed company of data insights and system architecture.
  • Guide teams in designing, building, testing, and deploying changes to existing software.
  • Ensure system reputed company 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 reputed company.

    • 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 reputed company discipline.
  • Proficiency in SQL, Python, and distributed reputed company 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 reputed company 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 reputed company-based data solutions.

    • Additional Information

    We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

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