Sedin Technologies - Azure Data Engineer - Synapse Analytics

Responsibilities :

- Build and optimize Extract Transform Load (ETL) processes using tools and services within the Azure ecosystem, with a strong emphasis on Databricks and PySpark.

- Develop and implement robust data warehousing solutions leveraging Azure Synapse Analytics.

- Apply your expertise in Data Analytics to support the creation of insightful reports and dashboards.

- Utilize your strong knowledge of various Azure services and tools relevant to data engineering.

- Work extensively with both SQL and NoSQL databases within the Azure environment.

- Collaborate effectively with cross-functional teams to understand data requirements and deliver high-quality data solutions.

- Troubleshoot and resolve data-related issues, ensuring data quality and integrity.

- Stay up-to-date with the latest advancements in Azure data technologies and best practices.

Qualifications :

- Mandatory experience in Databricks and PySpark.

- Proven skills in Data Engineering and Data Modeling.

- Hands-on experience with Extract Transform Load (ETL) processes.

- Expertise in Data Warehousing and Data Analytics concepts and implementation.

- Strong knowledge of Azure services and tools relevant to data engineering.

- Experience working with both SQL and NoSQL databases.

- Excellent problem-solving and analytical skills.

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- 4+ years of experience in Data Engineering.

Preferred Skills :

- Knowledge of data governance and data security best practices in Azure.

- Experience with stream processing technologies in Azure (e.g., Azure Event Hub, Azure Stream Analytics).

- Familiarity with data visualization tools (e.g., Power BI).

- Azure Data Engineer certifications.