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The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python. Proficiency in a range of key technologies is essential, including Pyspark, Azure Data Factory (ADF), Databricks, big data tools, SQL, and Python.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. Design and implement scalable and efficient data processing architectures using Databricks.
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Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. This role will primarily be responsible for building out our analytics platform on Databricks, using dbt and Python for data transformations.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Deep understanding of distributed computing principles, data management concepts, and big data ecosystem components (e.g., Hadoop, Spark, Kafka, Apache Delta Lake ). Hands-on experience with cloud platforms ( e.g., AWS, Azure, GCP ) and containerization technologies ( e.g., Docker, Kubernetes ), code management tools and frameworks ( e.g., Ci/CD, Git ) for understanding and managing big data solutions.
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Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate.
$100,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of some of the main components of Azure Analytics: Azure Data Processing Technologies (DataFactory, Databricks), Azure Big Data Technologies, Databricks, Synapse. The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience.
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Build high-performing clinical data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Dataflow, Pub-Sub, Composer, Healthcare API and Big Query. GCP data engineering technologies such as Cloud Dataflow, Cloud Storage, Pub/sub, Cloud Composer, Big Query, and Health care API (FHIR store.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In connection with above duties, utilize experience in Data Analysis; Business Intelligence; ETL (Extraction Transformation Load); Data Warehousing/Databases; Microsoft SQL Server/Oracle PLSQL; Python; R language; Microsoft Azure Cloud Platform; Research Analytics; Statistical Modeling Programming; Algorithms; Machine learning; Big Data/Data Mining; and Reporting (Tableau, Power BI, SSRS.
$102,400 - $152,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in working with modern columnar data warehouses, such as Snowflake, Redshift, or BigQuery. Experience working with the Hadoop ecosystem, including tools like Hadoop, Hive, and Spark, as well as Databricks for data processing and analytics.
$68 - $71 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Provide thought leadership around best practices in analytics platforms, business intelligence, data management and Big Data. Conduct Business Intelligence and Dashboard Orientation Trainings for business users to increase adoption of BI/data tools.
$150Full-timeExpandApply NowActive JobUpdated Today
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