Data Engineer | Junior - Middle level | Multiple headcounts

Position Summary:
We are seeking a motivated Junior Data Engineer with 1-3 years of experience to join our dynamic data team. The ideal candidate will have hands-on experience with ETL processes, Python programming, and cloud technologies, specifically Azure, Databricks, and Power BI. You will work closely with data scientists and analysts to design and implement robust data pipelines that drive business insights and reporting.

Key Responsibilities:
ETL Development : Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into data warehouses and lakes.
Data Pipeline Management : Collaborate with the data team to ensure efficient and reliable data pipeline performance.
Databricks Utilization : Implement data solutions using Databricks for big data analytics and data engineering tasks.
Azure Integration : Utilize Azure services (e.g., Azure Data Factory, Azure SQL Database) for data storage and processing.

Qualifications:
Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
Proficiency in Python, with experience in libraries such as Pandas and NumPy.
Familiarity with ETL tools and processes.
Experience with Azure services, particularly Azure Data Factory and Azure SQL.
Understanding of Databricks and its capabilities for big data processing.
Basic knowledge of Power BI for report generation and data visualization.
Analytical Skills: Strong problem-solving skills with the ability to analyze and interpret complex data sets.

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Full-time