Data Engineer
1 week ago
About Us:
We are a leading company specializing in building Azure Fabric-based Modern Data Warehouses, leveraging cutting-edge technologies to provide scalable and efficient data solutions. Our processes involve advanced data engineering, Python for data cleaning and transformation, pipelines for data movement, and a strong focus on SQL for querying and managing data.
Position: Data Engineer
Experience: 2-3 Years
Location: Indore
Employment Type: Full-Time
Key Responsibilities:
Data Transformation and Loading:
Develop and maintain Python scripts for data cleansing, transformation, and validation.
Implement and monitor ETL processes to load data efficiently into Azure Fabric environments.
Pipeline Development:
Design, build, and optimize data pipelines using Azure Data Factory, Synapse Pipelines, or Microsoft Fabric Pipelines.
Ensure data movement is seamless across the medallion architecture's Bronze, Silver, and Gold layers.
Database Management and SQL Development:
Write complex SQL queries for data extraction, transformation, and analysis.
Optimize SQL scripts to improve performance and scalability.
Manage database schemas, tables, and views in the Fabric environment.
Data Quality and Validation:
Implement data validation checks to ensure data accuracy and consistency across all layers.
Troubleshoot and resolve data-related issues promptly.
Collaboration:
Work closely with business analysts, data architects, and other stakeholders to understand data requirements.
Collaborate with cross-functional teams to deliver robust and efficient data solutions.
Qualifications:
Education: Bachelor's degree in Computer Science, Data Engineering, or a related field.
Experience: 2-3 years of hands-on experience in data engineering roles.
Technical Skills:
Proficiency in Python for data cleansing and transformation.
Strong knowledge of SQL, with experience in writing complex queries and optimizing them.
Experience with Azure services, particularly Azure Data Factory, Synapse, or Microsoft Fabric.
Familiarity with the medallion architecture and data warehousing concepts.
Soft Skills:
Strong problem-solving abilities and attention to detail.
Good communication and teamwork skills.
Preferred Qualifications:
Experience in building data pipelines in a cloud environment.
Understanding of Delta tables and OneLake in Microsoft Fabric.
Knowledge of data governance and security practices.
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