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You will be updated with latest job alerts via emailJob Summary: The Data Engineer will be responsible for leveraging the data platform to create data products for business. This role involves the development of data products data pipelines data transformation data cleansing data normalization deployment & support for various functions within EGIS.
Technologies: Azure Data Factory Data Bricks SQL Azure DevOps Azure Azure Devops gitlab Power BI
Key Responsibilities:
Design and implement Extract Transform Load (ETL) processes to move data from various sources (on-premises cloud and third-party APIs) to Azure data platforms.
Integrate data from diverse sources into Azure-based systems like Azure Data Lake/Azure SQL Database.
Use Azure Data Factory or Data Bricks orchestration tools to automate and schedule data pipelines/Job workflows
Design efficient data models (e.g. star or snowflake schema) for use in analytical applications and reporting systems.
Optimize SQL queries and scripts for performance ensuring low-latency and efficient data processing
Continuously monitor the health of pipelines jobs and infrastructure ensuring they are running efficiently and securely
Assist in building dashboards and reporting solutions using tools like Power BI ensuring data is made available in an user-friendly format
Address and resolve data issues including failures in ETL pipelines system performance problems and data inconsistencies
Ensure that all data engineering processes comply with industry security standards and best practices including encryption access controls and data masking
Keep logs of pipeline performance failures and system updates to provide visibility for monitoring and troubleshooting
Qualifications :
Bachelors degree in B.E in Computer Science Data Management or a related field.
Proficiency in Azure Data Bricks Azure Data Factory SQL Azure DevOps gitlab and data visualization tools like Power BI.
Strong understanding of data management and automation.
Excellent analytical troubleshooting and problem-solving skills.
Years of Experience 6-7 years in a similar role.
Remote Work :
No
Employment Type :
Full-time
Full-time