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DataWeave - Support Engineer - Data Operations

3 months ago


Coimbatore, Tamil Nadu, India Dataweave Full time

Roles & Responsibilities :
In the data operations role within the Data Engineering team, the following roles and responsibilities would typically apply :

  • Data Collection Management : Overseeing the efficient and reliable collection of data from various sources, ensuring the data is gathered in a timely and accurate manner.
  • Data Quality Assurance : Implementing quality control measures to validate and maintain the integrity of the collected data, while identifying and rectifying any inconsistencies or errors.
  • Data Processing and Integration : Managing data processing pipelines and ensuring the smooth integration of different data formats for further analysis and insights.
  • Automation and Tool Management : Developing and managing automation tools to streamline data collection processes, improving efficiency and minimizing manual interventions.
  • Monitoring and Reporting : Monitoring data pipelines and systems to identify potential issues or bottlenecks, providing regular reports to stakeholders regarding data operations performance.
  • Collaboration and Communication : Collaborating with other teams, such as data engineers, product development, and business analytics, to understand their data requirements and ensure the smooth flow of data operations within the company.
  • Process Improvement : Continuously identifying opportunities for process improvement, optimizing data operations to enhance efficiency and overall performance.
  • Documentation : Maintaining comprehensive documentation of data operations processes and procedures, facilitating knowledge sharing and ensuring continuity within the team.

Skills & Requirements :

  • Proficiency in scripting languages Python (sufficient knowledge of Pandas / NumPy / Scrapy and other libraries that would help in data operations)
  • Familiarity with API integration and usage to collect data from various sources.
  • Familiarity with documentation tools such as Confluence, Jira
  • Familiarity with troubleshooting datarelated issues and implementing effective solutions.
  • Ability to use debugging tools and techniques to resolve data operation challenges.
  • Web scrapping nice to have.)