Data Warehouse Engineer

Job Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data architectures, data models, and database systems.
• Integrate data from multiple sources including APIs, databases, and third-party systems.
• Ensure data quality, reliability, and integrity across data platforms.
• Collaborate with Data Analysts, Data Scientists, and Software Engineers to support data needs.
• Monitor, troubleshoot, and improve data processing performance.
• Implement data governance, security, and best practices for data management.
• Support real-time and batch data processing solutions.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or related field.
• Proven experience as a Data Engineer or similar role.
• Strong proficiency in SQL and database management (PostgreSQL, MySQL, BigQuery, etc.).
• Experience with ETL tools or building data pipelines.
• Proficiency in programming languages such as Python, Scala, or Java.
• Familiarity with data warehousing concepts and big data technologies.
• Experience with cloud platforms (AWS, GCP, or Azure) is a plus.
• Understanding of data modeling and data architecture.
• Good problem-solving and analytical skills.
• Experience with tools such as Apache Airflow, Kafka, Spark, or Hadoop.
• Experience working with data lakes or data warehouses.
• Familiar with Docker or Kubernetes.
• Experience building real-time data streaming pipelines.

Skills: SQL, Python, ETL, Data Warehouse