Data Engineer

Industry: Transportation
Company size: 251-10K
Not disclosed

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Job description

A well-established company providing ecological solutions to reduce carbon emission problems with their electric vehicles is looking for a Data Engineer. The engineer will be working extensively with data pertaining to general finance standards and processes, such as accounting close, financial statements, auditing. The company has a global reach, providing a balanced distribution of shared bikes, scooters, and transit vehicles across continents to reduce reliance on personal automobiles for short-distance travels. The company has managed to raise $940 mn+ in funding so far. This role requires 6+ hours overlap with the PST time zone.


Job Responsibilities:

  • Integrate data models for optimal storage to meet important product and business requirements
  • Ensure high uptime for all data systems across the organization and products
  • Manipulate the data and enforce best practices across teams
  • Scale up the data infrastructure to meet other business requirements
  • Work with Airflow, Python, Fivetran, Kinesis, Git, and Tableau, and open to more suggestions

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a Data Engineer
  • Prolific experience with AWS, Airflow, Tableau, and Snowflake 
  • Expertise using large-scale data warehousing architecture and data modeling techniques
  • Previously worked with Cloud-based architecture such as AWS or Google Cloud
  • Experience working with big data technologies like Redshift, Kinesis, Kafka, Spark, Flink is a plus
  • Previous experience leading design reviews and actively participating 
  • Track record of influencing technical and business strategies through meaningful contributions to the priorities and approaches
  • Working knowledge of relational databases
  • Profound skills SQL and high-level languages such as Python, Java, or Scala
  • Showcase strengths in the analysis of large data set to identify gaps and inconsistencies in the ETL pipeline and offer quality solutions 
  • The ability to communicate in English at a high proficiency

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