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Description:
The Data Architect will join our data product development team, working with cloud architecture (Azure) and utilizing key data engineering and analysis tools such as Databricks, Spark, and PowerBI.
Responsibilities include leading the team technically, designing, developing, and implementing robust solutions, and conducting complex data analysis using SQL and Python.
The ideal candidate must have experience with a cloud provider (Azure, AWS, or Google Cloud) and a passion for data, along with experience in complex production environments and a results-oriented mindset.
Responsibilities:
Develop and implement data pipelines for collecting, processing, and storing raw and aggregated data in Data Lake and BI(DW) architecture.
Design and build data models and database schemas that meet the company's analytical needs.
Identify and resolve data performance, integrity, and quality issues.
Participate in defining and implementing the data strategy.
Requirements:
Proven experience in data engineering, data analysis, or related fields.
Experience with Databricks, PySpark, and Delta Table.
Code versioning culture.
Strong programming skills in one or more languages, such as Python and SQL.
Experience with data storage and processing tools and technologies.
Familiarity with data modeling techniques, ETL (Extract, Transform, Load), and data pipelines.
CI/CD pipelines.
Benefits:
Opportunity to work with cutting-edge data technologies in a cloud environment.
Chance to lead technically and work on designing and implementing robust data solutions.
Exposure to complex production environments and the opportunity to contribute to the company's data strategy.
Possibility to work with a diverse team and be involved in agile methodologies.
Potential to enhance skills in data visualization tools like Power BI and Tableau, as well as knowledge in Machine Learning.