Proclink - Azure Data Engineer - Synapse Analytics

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. (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 11/28/2024