Data Engineer

• Integrate data from multiple sources (databases, APIs, third-party systems).
• Monitor and troubleshoot data pipeline performance and reliability.
• Ensure data quality, integrity, and security across systems.
• Collaborate with stakeholders to gather requirements and translate them into technical solutions.
• Document processes, pipelines, and data models for team use and governance.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 3–7+ years of experience in data engineering or related roles.
• Strong proficiency in SQL and programming languages such as Python, Java, or Scala.
• Experience with ETL tools and workflow orchestration (e.g., Apache Airflow).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of data warehousing, data modeling, and dimensional design.
• Familiarity with big data frameworks (e.g., Apache Spark, Hadoop).

Preferred Qualifications

• Experience with streaming data platforms (Kafka, Kinesis).
• Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift).
• Knowledge of data governance and compliance standards.
• Experience implementing CI/CD for data pipelines (DataOps).
• Exposure to containerization (Docker/Kubernetes) for data workflows.

Key Skills

• Data pipeline development
• Data modeling & architecture
• Problem-solving and analytical thinking