Data Engineer

• Build and optimize data architectures and data models.
• Integrate data from multiple sources including APIs, databases, and streaming platforms.
• Develop and maintain data warehouses and data lakes.
• Ensure data quality, integrity, security, and governance standards.
• Collaborate with data analysts, data scientists, and business stakeholders.
• Monitor and troubleshoot pipeline performance and production issues.
• Automate data workflows and deployment processes.
• Support real-time and batch data processing systems.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• 3+ years of experience in Data Engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Hands-on experience with SQL and database technologies.
• Experience with ETL tools and data pipeline development.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Understanding of distributed data processing frameworks.

Required Technical Skills

• Python / Java / Scala
• SQL
• Apache Spark
• Hadoop
• Airflow
• Kafka
• ETL/ELT Pipelines
• Data Warehousing
• Snowflake / Redshift / BigQuery
• Linux/Unix
• Git

Preferred Qualifications

• Experience with cloud-native data services.
• Knowledge of Docker and Kubernetes.
• Familiarity with CI/CD pipelines.