5 remote data engineer jobs found for you

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    • bbmp
    • permanent
    Role - Sr . Data ScientistWork Module- 3 days Work form OfficeLocation- Bangalore - MG RoadJob type- PermanentJob QualificationsMaster’s degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics or related field.At least 8 years’ industry or academic experience in AI, machine learning techniques, data mining, statistical modeling and/or pattern recognition model building for clients on real world problemsProfic
    Role - Sr . Data ScientistWork Module- 3 days Work form OfficeLocation- Bangalore - MG RoadJob type- PermanentJob QualificationsMaster’s degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics or related field.At least 8 years’ industry or academic experience in AI, machine learning techniques, data mining, statistical modeling and/or pattern recognition model building for clients on real world problemsProfic
    • hyderabad, telangana
    • permanent
    Proficiency with ETL tools (e.g., SSIS, GCP Dataflow).·Expertise in GCP (BigTable, Cloud Run, Cloud Functions)·Experience with real-time data streaming (e.g., Kafka, Pub/Sub).·Distributed data frameworks (e.g., Hadoop, Spark).·Programming skills in Python, JavaScript.experience10
    Proficiency with ETL tools (e.g., SSIS, GCP Dataflow).·Expertise in GCP (BigTable, Cloud Run, Cloud Functions)·Experience with real-time data streaming (e.g., Kafka, Pub/Sub).·Distributed data frameworks (e.g., Hadoop, Spark).·Programming skills in Python, JavaScript.experience10
    • gurgaon south city i
    • temporary
    We are looking for a skilled and motivated Data Scientist to join our team as an individual contributor. The ideal candidate should have at least two years of experience in data science or ML engineering, with hands-on expertise in Databricks, PySpark, and SQL. You’ll be responsible for owning and delivering scalable machine learning solutions end-to-end—from exploration to production—working independently and collaborating closely with business and engine
    We are looking for a skilled and motivated Data Scientist to join our team as an individual contributor. The ideal candidate should have at least two years of experience in data science or ML engineering, with hands-on expertise in Databricks, PySpark, and SQL. You’ll be responsible for owning and delivering scalable machine learning solutions end-to-end—from exploration to production—working independently and collaborating closely with business and engine
    • gand, oost-vlaanderen
    • permanent
    Ben jij een talentvolle techneut met een sterke interesse voor data en de drive om innovatieve oplossingen te creëren? Een toonaangevende organisatie is op zoek naar een Data Solutions Developer om te werken aan een breed scala aan uitdagende projecten voor diverse industrieën en klanten.
    Ben jij een talentvolle techneut met een sterke interesse voor data en de drive om innovatieve oplossingen te creëren? Een toonaangevende organisatie is op zoek naar een Data Solutions Developer om te werken aan een breed scala aan uitdagende projecten voor diverse industrieën en klanten.
    • moazzampura
    • permanent
    The Senior Data Science Engineer is responsible for developing and integrating API around data platform and web application with Parallon Data Engineering department large-scale data ecosystems and business use cases, including data pipeline and integration of structured and unstructured data.The Parallon Data Engineering department serves multiple business units in the organization: From the coding and clinical data perspective and from the Revenue Cycle
    The Senior Data Science Engineer is responsible for developing and integrating API around data platform and web application with Parallon Data Engineering department large-scale data ecosystems and business use cases, including data pipeline and integration of structured and unstructured data.The Parallon Data Engineering department serves multiple business units in the organization: From the coding and clinical data perspective and from the Revenue Cycle

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