Data Developer Midlevel

We are looking for a Data Developer to join our development team for a data product. The architecture is cloud-based (Azure) using the main 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 and should have skills for more complex data analysis using SQL and Python, and have experience working with a cloud provider (Azure, AWS, or Google Cloud). 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:

• 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
• 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

Differentials:

• Experience with PySpark
• Experience with Databricks, Azure Data Factory/Synapse
• Experience with Power BI, Tableau, or other data visualization tools
• Experience with agile methodologies
• Knowledge of Machine Learning

Join our team and be part of cutting-edge data solutions!