Data Engineer

8 - 12 years

35 - 50 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Skills:

Roles and Responsibilities:

  • Design and implement data collection pipelines from various sources including labs, factories, and suppliers.
  • Define data pipeline checks to ensure confidence in downstream data use cases.
  • Implement and maintain data quality checks for both development and production environments, ensuring schema compliance for downstream datasets.
  • Participate in schema definition, change reviews, and schema evolution processes.
  • Define and implement ETL workflows to transform raw datasets into structured datasets for downstream use cases, utilizing Python and SQL.
  • Collaborate with DevOps and data analyst teams to establish alerting policies related to infrastructure and data quality.
  • Adhere to best practices in software engineering and data management.
  • Demonstrate expertise in areas such as Python data stack, ETL processes, SQL, databases (both SQL and NoSQL), data lakes, and cloud infrastructure.

Skills Required:

Must-Have Skills:

  • ETL - Moving data, cleaning it, and saving it for use.
  • Data Engineering - Building systems to collect and manage data.
  • Python - A programming language used to work with data.
  • SQL - A language used to get and manage data from databases.

Nice-to-Have Skills:

  • Unit Testing - Writing small tests to make sure your code works properly.
  • Cloud - Working with online systems (like AWS or Azure) to store and use data.

Education:

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