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Data Sources:
Integrate data from diverse sources such as Azure Data Lake, Azure SQL, Azure
Synapse, APIs, and other relevant sources.
Expertise in Copy Activity, Mapping Data Flow, and handling various data formats.
API Integration:
Experience with making API calls and processing JSON responses.
Ability to handle pagination and complex API interactions.
Azure Analysis Services (SSAS):
Experience with Azure SSAS for creating and managing tabular models.
Azure Key Vault and Data Lake Concepts:
Familiarity with Azure Key Vault for secure storage of sensitive information.
Knowledge of Azure Data Lake concepts and best practices.
Additional Skills:
The candidate should be proficient in SQL and understand the usage of functions
and stored procedures for efficient data handling. He or she should possess a deep
understanding of database design and normalization and have experience in
database and query performance tuning and optimization.
Familiarity with dbt (Data Build Tool) for analytics engineering (optional but
advantageous).
Your Qualifications:
Bachelor's or higher degree in Computer Science, Data Science, or related field.
Proven experience of 4+ years as a Data Engineer with a focus on Azure
technologies.
Strong proficiency in Python, SQL, and Spark DataFrames.
Excellent understanding of data integration, data processing, and data modeling
concepts.
Gamito is a licensed recruitment agency under license number 1820/16.12.2014 with free of charge services to the candidates.
Guidance and on-boarding will be provided.
Regular Bulgarian working hours with flexible time and great social package.