Data Engineer

• Implement data warehousing solutions and data lakes
• Optimize query performance and data processing workflows
• Monitor and troubleshoot data pipeline issues
• Support real-time and batch data processing systems

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• 3+ years of experience in data engineering or related roles
• Strong proficiency in SQL and Python (or Scala/Java)
• Experience with ETL tools and frameworks
• Knowledge of data warehousing concepts
• Experience with big data technologies (e.g., Spark, Hadoop)
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Understanding of data modeling and database design

Preferred Qualifications

• Experience with Apache Spark, Kafka, or Airflow
• Knowledge of data lake architectures and tools (Delta Lake, Iceberg)
• Familiarity with NoSQL databases (MongoDB, Cassandra)
• Experience with CI/CD pipelines for data workflows
• Understanding of data governance and security best practices
• Exposure to BI tools (Tableau, Power BI)

Key Skills

• SQL, Python, Spark
• Data pipelines (ETL/ELT)
• Data warehousing & modeling