Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
About the role
- Data Engineer focusing on SQL database management and Azure Data Factory pipelines for a consulting firm in Spain. Collaborating on data integration and ensuring data accuracy in cloud environments.
Responsibilities
- SQL Database Management: Design, implement, and maintain SQL databases to ensure efficient data storage and retrieval.
- Optimize and tune SQL queries for maximum performance.
- Elasticsearch Integration: Work with Elasticsearch to index, search, and analyze large volumes of data efficiently.
- Collaborate with cross-functional teams to integrate Elasticsearch into our data ecosystem.
- Azure Data Factory Pipelines: Develop and manage data pipelines using Azure Data Factory.
- ETL Development and Maintenance: Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse.
- Implement data quality checks and ensure the integrity of data throughout the ETL process.
- Ensure the reliability, scalability, and efficiency of data movement within the Azure cloud environment.
- Work in migrating our data sources into Snowflake.
- Proactive Problem Solving: Proactively identify and address data-related issues, ensuring data accuracy and consistency.
- Collaborate with other teams to understand their data requirements and provide effective solutions.
- Clearly communicate complex technical concepts to non-technical stakeholders.
- Collaborate with data scientists, analysts, and other team members to understand data needs and deliver solutions.
- Documentation: Maintain thorough documentation for all data engineering processes, ensuring knowledge transfer and best practices.
Requirements
- Bachelors degree in Computer Science, Information Technology, or related field.
- Proven experience in SQL database design and optimization.
- Experience with github or gitlab.
- Experience with dbt.
- Strong ETL development skills.
- Experience with data modeling.
- Hands-on experience with Snowflake or Databricks.
- Proficiency in creating and managing data pipelines using Azure Data Factory.
- Excellent problem-solving and analytical skills.
- Proactive mindset with the ability to work independently and collaboratively.
- Strong communication and interpersonal skills.
Job title
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