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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake. Keywords : Python, Spark, SQL, ETL, Snowflake, Azure - Data Factory & Databricks.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Strong knowledge of data analytics, data science, and ETL processes.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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S Posted byPresidentFocus Capital is supporting its health technology division by introducing rockstar Software Engineer with prior experience working in Machine Learning, AI and Data Science technologies.
$130,000 - $170,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Exposure to Apache Spark, Apache Hadoop, Apache Kafka, AWS Services, Azure Services, Microservice Architecture, Databricks. What you'll need to succeed Masters' degree in Computer Science, or equivalent experience.
$234,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You are familiar with data infrastructure and toolings such as Presto, Hive, Spark and BigQuery. MongoDB is growing rapidly and seeking a Senior Software Engineer for the Machine Learning Platform team to be a key contributor to the critical data science and machine learning initiatives at MongoDB. The ML Platform team focuses on building a scalable, reliable, and flexible machine learning ecosystem encompassing key components such as model training, deployment, instrumentation and performance tracking in order to empower critical MongoDB product and business initiatives.
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Qualifications: 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Knowledge of public clouds (AWS, Azure, GCP) with familiarity in data warehousing solutions like Snowflake and Databricks.
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ROLE SUMMARYPfizer’s Director – Team Lead, Data Science Platform Engineer leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Product Director has accountability for creating the vision & strategy, managing the roadmap and executing on the product backlog working closely with cross functional teams across data engineering, data governance, data science and data analytics within AI & Data.
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Extensive hands-on experience in Contract First/Design First Software Development for Microservices and Data Products, and CI/CD using the Service & Data ContractsBroad knowledge across data engineering (e.g., ETL/ELT, data modeling), data governance (e.g., data modeling, data classification, data catalog and lineage), batch and real-time streaming data platforms (e.g., Airflow, Spark, Hadoop, Hive, Kafka, dbt), and cloud services (e.g., GCS, BigQuery, Vertex AI, Databricks.
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We are looking for a strong Senior Java Developer with Big Data experience (Hadoop, Spark) capable of build the design and establish the framework in order to expose and distribute the Risk data to wide variety of consumers including Finance, Front office Risk Systems, Trading Systems, Back office and Account systems.
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2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems.
$220,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Professional background in computer science, information technology, software engineering, or related fields (master's degree or above), with years of work experience in IT operations, system architecture design, big data processing, and artificial intelligence (with in-depth research and practice in AIOps or related fields.
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