Proclink - Azure Data Engineer - Synapse Analytics
4 weeks ago
Job Description :
Job Summary :
As an Azure Data Engineer, you will design, build, and maintain data solutions on Microsoft Azure, leveraging your expertise in SQL , MySQL , Mongo DB to ensure high-quality data availability for analysis and reporting.
You will collaborate closely with cross-functional teams to meet data needs and enhance decision-making capabilities.
Key Responsibilities :
- Data Pipeline Development : Design and implement ETL processes using Azure Data Factory and Azure Databricks, ensuring data integration from various sources.
- Database Management : Develop and maintain relational databases using SQL and MySQL, ensuring optimal performance and reliability.
- Data Modelling : Create and maintain data models to support analytical needs, ensuring data is structured for efficient querying and reporting.
- Query Optimization : Write and optimize complex SQL queries for data retrieval and reporting, improving performance and efficiency.
- Collaboration : Work with data scientists, analysts, and business stakeholders to understand data requirements and ensure data quality.
- Security and Compliance : Implement data governance practices and ensure compliance with data protection regulations.
- Documentation : Create and maintain comprehensive documentation for data pipelines, databases, and architectural designs.
Technical Skills :
- 5+ years of experience in data engineering or related roles.
- Strong proficiency in Microsoft Azure services, particularly Azure Data Factory, Azure Databricks, Azure SQL Database , Synapse.
- Extensive experience with SQL and MySQL, including database design, optimization, and data manipulation.
- Familiarity with programming languages such as Python or spark for data processing and analysis.
- Understanding of data warehousing concepts and big data technologies (e., Hadoop, Spark) is a plus.
- Experience with real-time data processing and stream analytics.
- Familiarity with AWS services will be advantageous in our multi-cloud environment.
- Knowledge of machine learning concepts and tools.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications :
- Bachelor's degree or equivalent.
- Microsoft Azure Data Engineer certification.
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