Job Description & How to Apply Below
Step into the role of Data Engineer at Lime, where you’ll work remotely to develop high-performance data solutions for analytics. This position requires strong skills in Python and SQL.
At Lime, recognized as a leader in micromobility, you will join a dedicated team focused on building foundational data infrastructures. You will encounter unique challenges in scaling data and ensuring quality while collaborating effectively from Canada.
Your role will center around designing ETL pipelines that support real-time analytics and machine learning.
Key Responsibilities:
• Create and manage high-throughput ETL/ELT data pipelines
• Optimize data transformations using Python and high-performance SQL
• Develop strategies to scale data operations in the future
• Promote best practices in data ops, CI/CD for pipelines
• Support data reliability through observability practices
Requirements:
• A degree in Computer Science or Data Engineering
• Over 2 years’ experience in data engineering
• Proficient in AWS and cloud data stacks
• Experience with Apache Kafka, Spark, or Flink
• Familiar with data transformation tools like dbt
Bring your technical expertise to Lime’s innovative team as a Data Engineer, making a tangible impact from your location.
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