Data Engineer

• Ensure data quality, integrity, and reliability across systems
• Collaborate with data scientists, analysts, and business stakeholders
• Optimize data workflows for performance and cost efficiency
• Implement data governance, security, and compliance practices
• Monitor, troubleshoot, and resolve data-related issues
• Maintain documentation for data systems and processes

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience)
• 2+ years of experience in data engineering or related role
• Strong proficiency in SQL and at least one programming language (Python, Java, or Scala)
• Experience building ETL/ELT pipelines
• Familiarity with data warehousing concepts and modeling (star/snowflake schema)
• Experience with big data technologies (Spark, Hadoop, etc.)
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud)
• Experience with version control (Git)
• Understanding of distributed systems

Preferred Qualifications

• Experience with workflow orchestration tools (Airflow, Prefect)
• Familiarity with streaming technologies (Kafka, Kinesis)
• Experience with NoSQL databases (MongoDB, Cassandra)
• Knowledge of containerization (Docker, Kubernetes)
• Exposure to BI tools (Tableau, Power BI, Looker)
• Understanding of data governance and compliance frameworks

Technical Skills

• Languages: Python, SQL, Java / Scala
• Big Data: Apache Spark, Hadoop
• Databases: PostgreSQL, MySQL, Snowflake, BigQuery
• ETL Tools: Apache Airflow, Informatica, dbt