An excelling data-rich, intelligent sales platform active in the market with thousands of customers is looking for a Senior Data Engineer. The engineer will be responsible for maintaining and operating the data warehouse and connecting the available data sources. The company has successfully established a database containing over 200 mn business contacts, companies, and built-in customizable features. The selected candidate will have the opportunity to work with a brilliant worldwide remote team in a Silicon Valley-backed organization.
Job Responsibilities:
• Develop and maintain scalable data pipelines
• Build new integrations to support rapid increases in data volume and complexity
• Implement automated monitoring, alerting, self-healing features on the platform
• Integrate processes and systems to monitor data quality
• Ensure accuracy and availability of the data
• Write unit/integration tests and contribute to engineering documentation
• Define the data models and write jobs to… populate them
• Work closely with all business units and engineering teams to develop a clear strategy
Job Requirements:
• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience in data engineering or a data facing role
• Proven track record working in data pipelines and warehouses
• In-depth skills in data warehousing
• Excellent skills in data structures and algorithms
• Sound ability to collaborate cross-functionally
• Experience using the Python data stack, deploying and managing data pipelines is nice to have
• Expertise in technologies like Airflow, Hadoop, and Spark is a plus
• Understanding of streaming technologies is desirable (Kafka, Spark Streaming
