Data Engineer-SQL, Python, ETL- Canada

3 weeks ago


Old Toronto, Canada Zortechsolutions Full time
Role: Data Engineer-SQL, Python, ETL

Location: Remote/CANADA

Duration: 6+ Months

Job Description

Key Skills required:

  • We are looking for Senior Data Engineering Candidates based out of the US/Canada.
  • Expertise in SQL, Python and ETL flows is a must have. Medium expertise/working knowledge in Scala is also needed, as our data pipelines are written in both Scala and Hive/Spark SQL, with new pipelines being written in Scala and legacy ones on SQL (which require ongoing maintenance).

Minimum Requirements

  • 5 years experience building scalable Spark data pipelines (preferably using Scala)
  • 3-5 years experience in high level programming languages such as Java, Scala, or Python
  • Proficiency in Spark/MapReduce development and expertise with data processing (ETL) technologies to build and deploy production-quality ETL pipelines
  • Good understanding of distributed storage and compute (S3, Hive, Spark)
  • Experience using ETL framework (ex: Airflow, Flume, Oozie etc.) to build and deploy production-quality ETL pipelines
  • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
  • Working knowledge of relational databases and expertise in query authoring (SQL) on large datasets
  • Experienced with big data technologies such as Hadoop, Spark, Hive, etc.
  • Experience working with Git and Jira (or other source control and task management tools)
  • Good communication skills that allows smooth collaboration with stakeholders
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