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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Certified AWS Big Data Specialty (Nice to have) 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.
$55 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Job Role: GCP Data Engineer.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Analytics: Fluent with SQL, PL/SQL and have used analytics tools like Big Query for data analytics. Cloud experience: Experienced in GCP services like cloud function, cloud run, data flow, data proc and big query.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) Strong written and oral communication, data visualization, presentation, and interpersonal skills.
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We are seeking a highly skilled AWS Data Engineer with expertise in building Data pipelines and processing solutions on the AWS platform, focusing on Databricks, Delta Lake, and Python development.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
$86,900 - $233,010 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Microsoft PowerBI, SQL Server (SSIS, SSRS, SSAS, BI Server), Azure Data Factory, and Oracle EBS, EBS Accelerator, Oracle Database, Oracle BI, SAP, SAP HANA, SAP BW. Tableau. At least 5 years of hands-on experience in architecture design and implementation of business intelligence and predictive analytics on cloud-based Data Warehouses.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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7+ Years of experience developing Enterprise Data Models with at least one enterprise modeling tool and data integration platform (Erwin, Embarcadero, Informatica, Talend, SSIS, DataStage, Pentaho.
$136,000 - $168,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Big Data Technologies: The data scientist has knowledge of big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks. We are looking for someone with experience with AWS Client and AI tooling, along with distributed computing tools such as DataBricks, Comprehend, and SageMaker; data visualization.
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Solid Understanding of Clinical Terminology such as SNOMED, ICD9/10, CPT, HCPCS, READ Solid understanding of healthcare data, particularly electronic health records (EHR) and insurance claims, and experience working with healthcare data standards.
$201,025 - $260,150 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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You'll code with machine learning languages like Python, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
$99,900 - $267,570 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Visualization: The data scientist effectively communicates insights and findings through visual representations. Machine Learning: The data scientist is familiar with machine learning algorithms and techniques, understanding supervised and unsupervised learning, feature engineering, model evaluation, and optimization.
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Proficiency in Microsoft Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake, etc. MHA provides expertise in Group Purchasing, Managed Care and Payer Contracting, Reimbursement Management, Specialty Pharmacy Solutions, Pharmaceutical Data Analytics, Consultant Pharmacy Software and Legislative Advocacy.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
Full-timeExpandApply NowActive JobUpdated 10 days ago
big data jobs Title: data administrator Company: Indeed in Whippany, NJ
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