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2 tygodni temu

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We are looking for experienced Data Engineers to join our team at DS STREAM Designing, implementing, and maintaining scalable data platforms and pipelines on AWS, including data warehouses, data lakes, and real-time streaming solutions that support the AI platform’s low-latency needs.​ Building and operating high-quality data products on top of services such as Amazon Redshift, Kinesis, Glue, DynamoDB, ElastiCache, and S3 to power analytics, reporting, and AI-driven use cases.​ Monitoring data flows, detecting anomalies, and improving data quality, reliability, and observability across batch and real-time workloads.​ Collaborating closely with AI, backend, and product teams to translate business requirements into robust, secure, and scalable data architectures on AWS.​ Strong programming skills in Python and SQL, with hands-on experience building and optimizing ETL/ELT pipelines and APIs in a modern cloud environment.​ Proven experience designing and implementing large-scale data platforms using Big Data technologies such as Spark, Hive, Hadoop, Airflow, or Databricks.​ Practical knowledge of AWS data and analytics services (e.g., Redshift, Kinesis, Glue, S3, DynamoDB, ElastiCache), and familiarity with event-driven or streaming architectures.​ Nice to have: experience working with AI- or ML-centric products, especially those leveraging vector databases, RAG-style architectures, or real-time conversational data. 100% remote work with possibility to use office in Warsaw ~ Flexible working hours ~ Opportunity to take advantage of Microsoft Azure and Google Cloud Platform training package available only for partners of these providers ~ A supportive community with 50+ consultants with 10+ years’ experience in Data Warehouse and Big Data ~

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