- UpvoteDownvoteShare Job
- Suggest Revision
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.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. AWS services, big data, data warehouse architecture, AWS Data Architect.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
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. Familiarity with all, and expert in some of the below: Databricks or Spark, MPP databases, ETL, data warehouse design, feature store design, monitoring tools.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The VP, Engineering will l ead scaling the global data and software engineering team s in managing the foundational enterprise data platform and creat ing tools and frameworks that enhance data collection and processing, analytics and artificial intelligence , data dissemination , and governance.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of 1 end-to-end SAP Master Data Governance implementation. Minimum 3 years of experience with/in SAP Master Data Governance. At least 1 year of hands-on experience/expertise in Master Data Governance including (but not limited to): Material Master, Finance Master Data Objects, Customer, Vendor.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strategic planning, incorporating emerging technology trends and industry standards to define the CST vision and strategy for DevSecOps, CI/CD, Test Automation, Site Reliability and Performance engineering, Performance testing, Test Data Management, Lower Environment management, Developer productivity.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
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.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
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.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
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
- Suggest Revision
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.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Monitor and stay abreast of relevant global, federal and state laws and regulations affecting the cloud services industry and ensure company compliance with applicable regulatory frameworks, including with respect to privacy and data protection, artificial intelligence, export controls, and sanctions.
$190,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will interact with developer, data engineer, UX designer, product manager, and senior executives to understand problem domain, project requirements, users experience and demonstrate model performance and its business value.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
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.
ExpandApply NowActive JobUpdated Today
cdc data jobs in Whippany, NJ
FEATURED BLOG POSTS
How to Respond to a Recruiter Through Email? (Tips & Examples)
Rather than wading through an endless list of open roles, wouldn’t it be nice if relevant job opportunities come to you?
How to Reject a Candidate Professionally
When deciding on how to reject a candidate, your first question may be
How Does Salary Pay Work? (Compared to Hourly Pay)
At the bottom of each job advertisement, companies label a role as salaried or hourly. Both methods will get you paid (yay), but each in very different ways. So, it's essential to figure out how does salary pay work? While employees paid by the hour are paid based on how long they work, employers pay salaried employees a fixed amount.
The Quiet Quitting Phenomenon
The term, quiet quitting, was coined in 2009, but only now is it gaining traction as young Millennials and Gen Z workers are experiencing record levels of burnout. With the pandemic and the state of the economy, young employees are feeling the pressure. So, quiet quitting comes into effect when that pressure is exasperated by work stress and no managerial support.
How Does Salary Range Work (With Examples)
What are your salary expectations? Do you know? Establishing a salary that compensates you fairly and keeps you happy at work can feel like taking a shot in the dark. And employers sure don’t make learning budgets easy!
Guide to Hiring a Teenager
Teenagers are full of life. They bring energy and adaptability that may be hard to get from older workers, but does that mean that hiring teens is beneficial? Well, it depends. As you debate whether or not you should integrate teenagers into your workforce, there are some things that you should know first.
How to Re-apply for Your Old Job Professionally
Have you recently started a new job only to find that you miss your old one? Maybe you didn’t realize how good you had it, and now you regret leaving. Don’t worry. You’re not the first person to feel this way, and you might even be able to return to your old job if you play your cards right.