Posted:4 days ago|
Platform:
On-site
Full Time
- 5+ years of relevant work experience in data engineering.
- Proven hands-on experience in data pipeline design and development on the Azure cloud platform.
- 5+ years of experience developing solutions using Databricks.
- Proficiency in at least one scripting language such as Python, PowerShell, JavaScript, or Scala.
• Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources.
• Automate data workflows to ensure consistent and reliable data processing.
• Design and implement scalable and secure data solutions using Azure analytics services, Azure SQL Database, and/or Databricks.
• Develop and maintain data storage solutions, including data warehouses, data lakes, and databases, ensuring optimal performance and cost efficiency.
• Implement and maintain data quality checks to ensure data accuracy and consistency.
• Enforce security measures to protect sensitive data, including encryption and access control.
• Identify, troubleshoot, and resolve issues related to data pipelines, storage, and processing.
• Monitor and optimize the performance of data pipelines, databases, and queries.
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Previous experience with Informatica IICS data governance or IDQ is a strong plus.
- MS Power BI development experience is beneficial.
- Experience with Oracle Analytics Cloud is a strong plus.
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