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Senior Data Engineer
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Full-time
- Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
- Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
- Ensure compliance with data governance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.
- Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native
- Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage.
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