Data Engineer

• Develop and optimize data warehouses and data lakes
• Collaborate with analysts, data scientists, and business teams
• Ensure data quality, integrity, and governance standards
• Optimize database and query performance
• Work with structured and unstructured data sources
• Implement cloud-based data solutions using AWS, Azure, or GCP
• Monitor and troubleshoot data workflows and pipeline failures
• Support real-time and batch data processing systems

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 3+ years of experience in Data Engineering
• Strong SQL and database design skills
• Experience with Python, Java, or Scala
• Hands-on experience with ETL/ELT tools and frameworks
• Knowledge of data warehousing concepts and dimensional modeling
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with big data technologies and distributed systems

Preferred Qualifications

• Experience with Spark, Hadoop, Kafka, or Airflow
• Knowledge of Snowflake, Redshift, BigQuery, or Databricks
• Understanding of CI/CD and DevOps practices
• Experience supporting machine learning data pipelines
• Relevant cloud or data engineering certifications

Technical Skills

• SQL & Python
• Spark / Hadoop
• Airflow / dbt / Informatica