Data Engineer

• Ensure data quality, integrity, and security
• Monitor and troubleshoot data pipeline issues
• Work with structured and unstructured datasets
• Collaborate with cross-functional teams to support business requirements
• Implement data governance and best practices
• Optimize database and query performance
• Support real-time and batch data processing solutions

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
• Strong programming skills in Python, Java, or Scala
• Experience with SQL and database technologies
• Hands-on experience with ETL tools and data pipeline development
• Knowledge of data warehousing concepts
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with big data technologies like Spark, Hadoop, or Kafka
• Experience with version control systems such as Git
• Strong analytical and problem-solving skills

Preferred Qualifications

• Experience with Snowflake, Redshift, or BigQuery
• Knowledge of Airflow or other workflow orchestration tools
• Familiarity with CI/CD pipelines
• Experience with Docker and Kubernetes
• Understanding of data governance and security standards
• Experience supporting machine learning workflows

Technical Stack

• Python / Java / Scala
• SQL
• Apache Spark
• Hadoop