Role Overview:
One of our clients is seeking a Engineering & Data tools Specialist to contribute to the development and maintenance of internal tools and data infrastructure. The role involves collaborating with cross-functional teams to enhance data processing capabilities and streamline engineering workflows.
Key Responsibilities:
• Design, develop, and maintain data tools and pipelines to support business operations and decision-making.
• Optimize existing engineering tools for improved performance, scalability, and usability.
• Collaborate with engineering and data teams to integrate new tools and technologies into workflows.
• Troubleshoot and resolve issues in data processing systems, ensuring reliability and efficiency.
• Document tool configurations, processes, and troubleshooting steps for team reference.
Required Skills & Qualifications:
• Proficiency in Python, SQL, and data processing frameworks such as Pandas or PySpark.
• Experience with data pipeline development, ETL processes, and data warehousing solutions.
• Familiarity with cloud platforms such as AWS, GCP, or Azure for tool deployment and management.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Strong problem-solving skills with a focus on automation and tooling improvements.
• Experience working in Agile or Scrum environments and collaborating with distributed teams.
More About the Opportunity:
This role offers the chance to work with a global leader in the technology industry, contributing to the scalability and efficiency of data-driven systems. The position supports critical infrastructure that enables faster, more reliable decision-making across the organization.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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