Amul Recruitment 2023

The Data Engineer is responsible for designing, developing, and maintaining the data infrastructure that supports Amul's data science initiatives. This includes building and maintaining data pipelines, data warehouses, and data lakes. The Data Engineer will also work with data scientists and other stakeholders to ensure that data is accessible, reliable, and of high quality.

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Responsibilities:

• Design, develop, and maintain data pipelines that move data from source systems to data warehouses and data lakes.
• Develop and maintain data warehouses and data lakes.
• Work with data scientists and other stakeholders to ensure that data is accessible, reliable, and of high quality.
• Develop and maintain data APIs.
• Implement ETL processes.
• Develop and maintain data integration systems.
• Monitor data quality.
• Troubleshoot data issues.
• Stay up-to-date on the latest data engineering technologies.

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Skills:

• Strong programming skills in Python, Scala, or Java.
• Experience with data warehouse and data lake technologies such as Hadoop, Hive, Spark, and Redshift.
• Experience with ETL tools such as Talend, Informatica, or Pentaho.
• Experience with data modeling and data warehousing.
• Experience with data quality monitoring and troubleshooting.
• Experience with cloud computing platforms such as AWS, Azure, or GCP.
• Strong communication and teamwork skills.

Qualifications:

• Bachelor's degree in computer science, data science, or a related field.
• 3+ years of experience in data engineering.
• Experience with cloud computing platforms is a plus.