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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisLead Data Engineer (python, Spark, Big Data, AWS)Do you love building and pioneering in the technology space.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
$256,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Google Cloud Platform, Data Engineering, Big Data Architecture, Multi Touch Attribution, Digital Marketing, SQL, PL SQL, Python, Identity resolution, Apache Spark, Apache Airflow, Hadoop, Hive, Adobe Marketing Cloud (Omniture), Google Analytics, AWS, ETL, Marketing Analytics, Data Integration.
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The Sr Data Scientist is responsible for participating in the full array of predictive modeling activities at BHI. Conduct quantitative analyses, author study reports, and create innovative analytic approaches.
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Design and develop data architecture solutions utilizing Microsoft Azure services, including Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Azure Databricks and Azure Analysis Services.
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Familiarity with Big Data is preferred. Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake). Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) Senior Data Scientist, Data & Strategy As a catalyst for innovative digital marketing ideas, what excites us at TRKKN is using a data-driven approach to take our clients’ business to the next level.
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Implement distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications.
$40.89 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and manage highly performant ETL pipelines and data integration processes using Snowflake, Azure Data Factory, and Databricks. Highly Desirable: Snowflake certification(s) and experience with additional cloud data platforms such as AWS Redshift or Google BigQuery.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Data Engineering Transformation Tools: Familiarity with data integration tools Cloud Composer (based on Apache Airflow) , Dataflow , CloudRun. Programming Languages/Infrastructure as Code/ Code Management : Strong knowledge of languages commonly used in data engineering, such as Python, SQL ,Terraform, CI/CD , Git flows, Attunity , AutoSys.
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Experience with cloud environments (e.g., AWS, Azure, O365) and technical implementation of data security and privacy requirements. Work with the general counsel and business teams to ensure both existing and new services comply with privacy and data security obligations.
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big data jobs Company: Amazon in Chicago, CT, Us
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