Senior Data Engineer – Databricks, PySpark
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Job Description
Seeking a Data Engineer with Databricks and PySpark expertise for tech transformation projects. Join a global initiative with CI&T focusing on scalable tech solutions.
Responsibilities:
- We are looking for a Data Engineer with Databricks and PySpark experience to be part of a global project.
- Engage in architectural engineering decision-making.
- Build robust data pipelines and ensure data quality.
Requirements:
- Advanced/Fluent English skills.
- Experience with Databricks and PySpark.
- Ability to make architectural engineering decisions.
- Understanding of trade-offs and ability to explain rationale behind decisions.
- Open to screening additional data engineering candidates.
- Skill in decomposing complex computer science problems into elegant solutions.
- Adherence to engineering best practices.
- Self-driven and proactive in adding data quality checks.
- Ability to understand data consumption at various stages.
- Experience in building resilient data pipelines.
- Capability to articulate relevant experience from past positions.
Benefits:
- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations
- And many others.
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