Data Test Automation Engineer
2 weeks ago
HybridDescriptionBig Data team is looking for a sharp and organized engineer to take on a 50-50 hybrid
role:
combining data engineering and test automation.
The role involves developing and maintaining robust data pipelines while ensuring data accuracy, reliability, and quality through automated testing frameworks.
Responsibilities:
• Perform data accuracy testing using advanced
SQL
.
• Design, build, and maintain
ETLs
, KPIs, and
data
migration pipelines.
•
•
Develop and manage
automated
and
manual test
plans for
data pipelines
.
• Monitor pipeline health, detect and troubleshoot data quality issues.
•
•
Lead data investigations and escalations across teams.
• Manage defect backlog.
Requirements:
•
B.Sc. in Software Engineering,
Computer Science, Information Systems, Industrial Engineering, or related field.
•
Strong data-driven mindset with understanding of KPIs and data flows.
• Deep knowledge of
SQL
(joins, window functions, subqueries, aggregations)
•
QA
/
test automation
background, including test plan design (
big advantage
).
• Experience with
Python
,
Git
,
Jira
(
advantage
).
• Familiarity with
AWS
services and data processing technologies (Redshift, Athena, S3, Glue, Lambda, RDS, EMR, DMS, etc.) –
advantage
.
•
Strong communication skills in both Hebrew and
English
.Personality
• Proactive thinker, questioning and improving existing practices.
•
Team player with excellent collaboration and communication skills
-
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