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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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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) 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.
$55 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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WS services, big data, data warehouse architecture, 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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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 Yesterday - UpvoteDownvoteShare Job
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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others. As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Communication landscape, HCP preferences, publication and scientific content planning, data disclosure / dissemination, and represent BMS scientific communications to external investigators, key authors and journal editors.
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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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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Define and implement data access policies; implement and maintain data security measures and access policies for cloud storage buckets and vector databases.
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Experience working with data management projects having experience in data analysis, data governance, data quality and lineage. Serves as an analytics resource to wider organization or business units, offering expertise on systems and data output.
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The HR Data Analyst will have the ability to critically think and organize a variety of different datasets and workstreams. Summary : Our team is looking for a Senior HR Data Analyst to help review and maintain the integrity of our people's data with an intellectually curious mindset.
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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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Knowledge of data storage and manipulation tools such as MS SQL, Alteryx, Python, R, etc. Perform a wide range of catastrophe modeling projects. Be a client advisor in areas such as catastrophe risk management, underwriting support, pricing adequacy, and reinsurance decision-making.
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Other technologies used include Docker, AWS, NIFI, Jenkins, Hibernate, Oracle and PostgreSQL Database along with Redshift and Dynamo DB. Experience with Apache Spark and Kafka is a big plus. Skills Required: JAVA, J2EE, Spring Boot, Spring MVC, RDMS data bases like (Oracle, Postgre SQL, SQL Server), File systems, Designing Large scale Applications and AWS.
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big data jobs Title: hadoop consultant Company: Kpmg in Parsippany, NJ
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