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EnableSA T/A EnableSA Pty Ltd

Data Engineer - Remote

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Summary

Remote Data Engineer designing and developing data solutions on Azure (Data Factory, Data Lake, SQL Database), building data pipelines, and ensuring data quality for a national client.

Data Engineer (Remote)

This is a remote position.

Our national client is seeking an experienced Data Engineer (remote) to join the team:

  1. Design and develop data solutions using Azure services, such as Azure Data Factory, Azure Data Lake, and Azure SQL Database.
  2. Implement data ingestion, processing, and storage solutions to meet business needs.
  3. Collaborate with data scientists and business stakeholders to identify data requirements and design data pipelines.
  4. Write efficient and scalable code for data processing and data integration tasks.
  5. Implement data security and privacy measures to ensure data protection.
  6. Monitor and troubleshoot data processing issues and ensure data accuracy and quality.

Requirements

  1. Bachelor’s degree in Computer Science, Information Technology, or a related field.
  2. Proven experience as a Data Engineer, with experience in Azure.
  3. Strong understanding of data warehousing, data ingestion, and data processing concepts.
  4. Proficient in programming languages such as SQL, Python, Java, or C#.
  5. Knowledge of SQL and experience with other query languages (e.g. DAX, M).
  6. Ability to work with large and complex data sets and perform data analysis and modelling.
  7. Experience with other cloud platforms, such as AWS or Google Cloud Platform.
  8. Knowledge of big data technologies, such as Apache Hadoop or Apache Spark.
  9. Experience with data visualization tools, such as PowerBI or Tableau.
  10. Ability to write clean, efficient, and well-documented code.
  11. Knowledge of Agile development methodologies and DevOps practices.

What they ask for

Required

  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • Proven experience as a Data Engineer with experience in Azure
  • Strong understanding of data warehousing, data ingestion, and data processing concepts
  • Proficient in programming languages such as SQL, Python, Java, or C#
  • Knowledge of SQL and experience with other query languages (e.g. DAX, M)
  • Ability to work with large and complex data sets and perform data analysis and modelling
  • Experience with other cloud platforms such as AWS or Google Cloud Platform
  • Knowledge of big data technologies such as Apache Hadoop or Apache Spark
  • Experience with data visualization tools such as PowerBI or Tableau
  • Ability to write clean, efficient, and well-documented code
  • Knowledge of Agile development methodologies and DevOps practices

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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