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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. AWS services, big data, data warehouse architecture, Certified AWS Big Data Specialty (Nice to have.
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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. GCP Data Engineer.
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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.
$55 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will work with highly committed and high-performing teammates to deliver a best-in-class solution leveraging cutting-edge technologies in the area of Big Data, Visualization, and Insights, Advanced Analytics.
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Job Role: GCP Data Engineer. 1-2 years of experience in Google Cloud Platform (especially Big Query). Knowledge of data Modelling, database design, and the data warehousing ecosystem.
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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.
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Extensive experience writing, optimizing, and analyzing SQL, with robust capability to interpret complex data requirements and architect solutions. Our tech stack continues to evolve: Azure Data Factory, Azure Data Lake, Azure Synapse, Power BI, Collibra, Databricks, MLflow, RStudio, Harness CI/CD, OpenShift, GitHub, JIRA.
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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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Python, SQL, Looker, Redshift, Big Data, cloud computing (especially AWS). Extensive experience with the following technologies: SQL, Looker, Redshift, Big Data, cloud computing (especially AWS.
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Experience developing data engineering and ML pipelines in Databricks. Write Python code in Databricks Notebook for data preprocessing, processing unstructured data/documents, feature extraction, API calls, and application orchestration.
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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.
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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 Today - UpvoteDownvoteShare Job
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We are looking for an Enterprise Architect with a background in Data technologies and Architecture. combined with design and implementation experience as a solution/data architect.
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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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Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store. To thrive in this role, you should have ten-plus years of experience in architecture, design, and building a scalable target state architecture for data processing-based on document content including PII/CII handling, policy-based hierarchy rules and Metadata tagging.
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big data jobs Title: big data architect Company: Diverse Lynx in Whippany, NJ
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