Data Engineer – Mid-level
Job Description
Join our team as a Data Engineer and be pivotal in designing, developing, and maintaining scalable data pipelines. You'll manage substantial data volumes from diverse sources, ensuring efficient data handling. Enhance data quality and availability through ETL/ELT processes. Collaborate with data scientists, business analysts, and product owners to meet their data needs with reliable solutions. Proactively manage and refine data infrastructure, addressing performance bottlenecks. Implement Data Warehouse, Data Lake, and Lakehouse solutions. Uphold data security and compliance according to governance standards. Produce detailed documentation for data architectures, pipelines, and processes. Help define best practices for data engineering. Automate data tasks and mentor junior team members.
Qualifications
1. Bachelor's Degree in Computer Science, Engineering, Information Systems, or a related field. 2. A minimum of 2 years of data engineering or related experience. 3. Postgraduate studies in Engineering, Data Science, or closely related fields are advantageous. 4. Data-related certifications are a plus. 5. Prior experience in a technology consulting environment. 6. Reading proficiency in English.
Benefits
- Christmas hamper - Life insurance - On-site meal at an affiliated restaurant - Wellhub access - English classes
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