Data Engineer

• 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