Data engineer

Must Have Technical/Functional Skills

• Data engineer experience, SQL, AWS, Python

Roles & Responsibilities & Basic Qualifications

• 6+ years of data engineering experience
• 3+ year of experience working in a data engineering, data science, or software engineering capacity
• Expertise in writing and maintaining robust data pipelines in SQL and Python
• A track record of turning data requirements from stakeholders into actionable plans
• Experience with cloud-native solutions
• A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability

Preferred Qualifications

• Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
• Experience with a scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• 5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
• Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
• Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
• Strong skills in Python, Java, or Scala.
• Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.