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Responsibilities
- Develops and maintains scalable data pipelines and builds out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using HQL and 'Big Data' technologies
- Implements processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
- Write unit/integration tests, contribute to engineering wiki, and document work
- Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Who You Are
- You’re passionate about Data and building efficient data pipelines
- You have excellent listening skills and empathetic to others
- You believe in simple and elegant solutions and give paramount importance to quality
- You have a track record of building fast, reliable, and high-quality data pipelines
- Passionate with good understanding of data, with a focus on having fun, while delivering incredible business results
Must have skills
- A Data Engineer with 5+ years of relevant experience who is excited to apply their current skills and to grow their knowledge base.
- Experience in AWS/Spark/Python/SQL/ development
- Experience in GIT, JIRA, Jenkins, Shell scripting
- Familiar with Agile methodology, test-driven development, source control management and automated testing
Nice to have skills
Seniority level
Employment type
Industries
- IT Services and IT Consulting
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