Data Engineer

When you are working with us, you will be:

• Collaborate with cross-functional teams to understand data requirements and develop scalable and efficient data solutions.
• Design, implement, and optimize data pipelines and ETL processes to ingest, transform, and load large volumes of data from various sources into our data warehouse.
• Develop and maintain data models, schemas, and databases to support data analysis, reporting, and visualization needs.
• Perform data cleansing, validation, and quality assurance processes to ensure data accuracy, completeness, and consistency.
• Implement data governance policies and procedures to ensure data security, privacy, and compliance with regulatory requirements.
• Monitor and optimize the performance, scalability, and reliability of data infrastructure and systems.
• Troubleshoot data issues, diagnose root causes, and implement timely solutions to minimize data downtime and disruptions.
• Document data engineering processes, architectures, and best practices to facilitate knowledge sharing and team collaboration.
• Stay updated on industry trends, emerging technologies, and best practices in data engineering and analytics.

You can get in, if you can prove that you:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Data Engineer or similar role, with a focus on designing and implementing data solutions.
• Strong programming skills in languages such as Python and SQL.
• Deep understanding of data warehousing concepts and technologies (e.g., AWS Redshift, Google BigQuery, Snowflake, Azure).
• Hands-on experience with ETL tools and frameworks (e.g., SSIS, Azure Data Factory, Apache Spark, Talend, Informatica).
• Experience with data modeling, database design, and SQL query optimization.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.