Data Engineer

Responsibilities:

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization’s ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Act as the solution architect and develop the end-to-end onboarding of projects onto the data platforms deployed in the organization for different BI needs such as data ingestion, visualization, data governance.
• Perform testing on the deployed data platforms.

SKILLS:

• At least 5 years’ experience of working as a platform support engineer or a software engineer or a data engineer.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Strong hands-on experience and working knowledge of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica, Tableau, and Power BI.
• Exposure and knowledge in the following technologies will be advantageous:
• Java, Python
• Snowflake, Oracle, MS SQL, Denodo
• AWS services
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.

SKILLS: Python, SQL, AWS, SNOWFLAKE, LINUX, INFORMATICA, TABLEAU

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