Data Engineer
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• Designing, developing, and maintaining scalable data pipelines and architectures
• Collaborating with development teams to understand data requirements and deliver optimized data solutions
• Implementing and managing ETL/ELT processes using company-approved technologies and data architecture guidelines
• Monitoring, optimizing, and maintaining database performance and reliability
• Ensuring data availability and accessibility for data analysts and data scientists
• Implementing data security, governance, and privacy best practices
• Troubleshooting data-related issues and ensuring data quality across systems
• Documenting data flows, architectures, and processes What You’ll Need To Succeed
• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Proven experience as a Data Engineer or in a similar role
• Strong knowledge of data modeling, data warehousing, and ETL processes
• Experience working with cloud platforms, preferably AWS
• Solid programming skills in Python and SQL
• Hands-on experience with big data and streaming technologies (e.g., Spark, Kafka)
• Experience with workflow orchestration tools (e.g., Airflow)
• Familiarity with data visualization or BI tools (e.g., Qlik)
• Strong problem-solving skills and attention to detail
• English – intermediate to advanced level Tech stack:
• Airflow
• AWS (EMR, S3, Redshift)
• Kafka
• Spark
• Python
• SQL
• Qlik Apply Now Skillbourg
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