Data Engineer - Remote
Posted Updated
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:
- Design and develop data solutions using Azure services, such as Azure Data Factory, Azure Data Lake, and Azure SQL Database.
- Implement data ingestion, processing, and storage solutions to meet business needs.
- Collaborate with data scientists and business stakeholders to identify data requirements and design data pipelines.
- Write efficient and scalable code for data processing and data integration tasks.
- Implement data security and privacy measures to ensure data protection.
- Monitor and troubleshoot data processing issues and ensure data accuracy and quality.
Requirements
- 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.
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