Offer summary

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field., At least 5 years of experience as a Data Engineer with expertise in Azure Data Lake., Proficiency in Azure Data Services such as Azure Data Lake Storage, Data Factory, and Synapse Analytics., Strong programming skills in Python, SQL, and familiarity with Java or C#. .

Key responsibilities:

Designing and implementing data pipeline solutions within Azure Data Lake.

Transforming and integrating data from various sources for analytics and reporting.

Ensuring data quality, integrity, and governance practices.

Collaborating with teams to develop scalable data solutions.

Job description

We are seeking a highly skilled Data Engineer with extensive experience in Azure Data Lake to contribute to our dynamic team at Creative Chaos. The ideal candidate will be responsible for architecting, developing, and optimizing data pipelines that will facilitate the efficient processing of large datasets.

Responsibilities:

Designing and implementing robust data pipeline solutions within Azure Data Lake.
Integrating and transforming data from various sources to enable comprehensive analytics and reporting.
Ensuring data quality and integrity, implementing data governance practices.
Collaborating with cross-functional teams to understand data requirements and develop scalable solutions.
Monitoring and optimizing data processing workflows for performance and reliability.
Documenting processes and architecture to ensure maintainability and scalability.
Staying abreast of new Azure technologies and best practices for data engineering.

Requirements

The successful candidate will possess the following qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.
A minimum of 5 years of experience working as a Data Engineer, with a strong emphasis on Azure Data Lake.
Proficiency in Azure Data Services, particularly Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.
Demonstrated experience with data modeling, ETL processes, and data warehousing solutions.
Strong programming skills in Python, SQL, and familiar with Java or C#.
Excellent problem-solving skills and a detail-oriented approach to work.
Ability to communicate technical concepts clearly to non-technical stakeholders.
Strong organizational skills with the ability to manage multiple priorities and meet deadlines.

Benefits

Perks & benefits