Data Engineer

• Monitor and troubleshoot production data pipelines
• Optimize performance and scalability of data systems
• Collaborate with cross-functional teams to gather requirements

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience)
• 3+ years of professional experience in data engineering
• Strong proficiency in SQL
• Programming experience in Python (preferred), Scala, or Java
• Experience building ETL pipelines and workflow automation
• Experience with relational databases (PostgreSQL, MySQL, SQL Server)
• Understanding of data warehousing and data modeling concepts
• Experience with Git and version control systems

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience with big data technologies (Apache Spark, Kafka, Hadoop)
• Familiarity with orchestration tools (Airflow, Prefect)
• Experience with modern data warehouses (Snowflake, Redshift, BigQuery)
• Experience with dbt for transformations
• Knowledge of Docker and Kubernetes
• Experience implementing CI/CD for data pipelines

Technical Skills

Languages: SQL, Python, Scala/Java
Big Data: Spark, Kafka, Hadoop
Databases: PostgreSQL, MySQL, SQL Server, Snowflake
Cloud: AWS / Azure / GCP