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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Hands on experience of building data pipelines using Apache Spark (Azure Databricks), Scala. Job profile : Data Engineer experience on Spark with Scala / Azure Databricks. Hands on experience in designing and delivering solutions using the Azure Data Analytics platform including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake.
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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. " Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with any ETL and Data Visualization tools will be a plus. We are looking for an experienced and talented technical individual to join our team as Cloud DevOps Engineer to support our Cloud Data Management and Advanced Analytics platforms.
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For data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc. We are currently seeking a Data Scientist to work for our company. in assisting in the analysis and interpretation of a wide range of data to.
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WSDOT’s Public Transportation Division (PTD) is seeking a currently enrolled college student or recent graduate to fill an internship position in data analytics. Enrolled in or a recent graduate of a bachelor’s degree program in transportation planning, environmental planning, urban planning, regional planning or land use planning, engineering, data analytics, public administration, communications or related field at an accredited college or university.
InternExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
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Design and optimize data structures in data management systems (Snowflake, GCP, HANA) to enable reporting analytics using Tableau/Power BI as well as AI/ML solutions. 5+ years building scalable ETL pipelines with big data processing and/or developing applications and data sources (Apache Ni-Fi, Airflow, SSIS.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Experience reviewing in-vivo and in-vitro data including, but not limited to, inhalation, pathology, chemistry, PCR, and ELISA. Mentor and train junior staff in Data Coordinator duties.
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Develop and oversee a comprehensive data architecture, aligning with business goals and integrating technologies such as Azure, Databricks, and Palantir to craft a forward-looking data management and analytics landscape.
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Knowledge of predictive analytics techniques (e.g., predictive modeling, statistical programming, machine learning, analytics, data visualization). Experience in data visualization tools such as Google Looker, MicroStrategy, Kibana.
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We are seeking a Senior Data Analyst to help develop MLT’s insights on advancing racial equity and socioeconomic mobility. Bachelors in mathematics, statistics, data science, or social science.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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