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Description:
We are looking for a Midlevel Data Developer to join our data product development team.
The architecture is cloud-based (Azure) and utilizes key data engineering and analysis tools such as Spark, Databricks, and Azure Data Factory/Synapse.
The ideal candidate will be responsible for designing, developing, and implementing robust solutions.
Candidates should possess skills for more complex data analysis using SQL and Python.
Experience with a cloud provider (Azure, AWS, or Google Cloud) is required.
If you are passionate about data, have experience in complex production environments, and are results-oriented, this could be the perfect opportunity for you.
Responsibilities include developing and implementing data pipelines for collecting, processing, and storing raw and aggregated data in a Data Lake and BI architecture.
You will design and build data models and database schemas that meet the analytical needs of the company.
Identifying and resolving performance, integrity, and data quality issues is also part of the role.
Participation in defining and implementing the data strategy is expected.
Requirements:
Proven experience in data engineering, data analysis, or related fields is required.
A culture of code versioning is essential.
Strong programming skills in one or more languages, such as Python and SQL, are necessary.
Experience with data storage and processing tools and technologies is required.
Familiarity with data modeling techniques, ETL (Extract, Transform, Load), and data pipelines is essential.
Benefits:
The position offers the opportunity to work in a dynamic and innovative environment.
You will have the chance to work with cutting-edge technologies in cloud computing and data engineering.
There is potential for professional growth and development within the company.
The role supports a remote work arrangement, providing flexibility in your work environment.