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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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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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Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.Data Analysis - Sources, compiles, and interprets data. Experience working with data management projects having experience in data analysis, data governance, data quality and lineage.
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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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Lead Software Engineer, Full Stack (Enterprise Data) Enterprise Data is hiring a Lead Software Engineer! Work with Product, Data Ethics & Privacy Office (DEPO), Architecture, and other Tech Leaders to ensure all work is completed, tested, and deployed in a timely manner.
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This role will help leverage genomics, proteomics, and metabolomics (omics) data to conduct translational, clinical, and basic research. Learns and evaluates new developments in the field of computational biology and bioinformatics and learns new algorithms, software, and methods to apply these methods to the data analyzed.
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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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By applying, you consent to your information being transmitted by Monster to the Employer, as data controller, through the Employer’s data processor SonicJobs. Patina Restaurant Group is a leader in the premium segment of the restaurant and catering industry, operating restaurants and managing catering and food service operations at high-profile venues including, Lincoln Center, Walt Disney World®, Disneyland®, the Empire State Building, Grand Central Station, and The Metropolitan Opera.
$18 - $21 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requirements: Requires at least a Bachelor’s degree, or foreign equivalent, in Computer Applications or related field and 6 years of progressive, post-baccalaureate experience as a Reports Analyst, Data Engineer, Module Leader, or related position involving Data Extraction (ETL), Data analysis and reporting in financial domain.
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Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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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. We have a job opportunity for the position GCP Data Engineer with one of our client.
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Remote Work From Home Data Entry Clerk for Entry Level Position. You enjoy data entry work and can perform the work from your home or location of choosing (remote work from home job) Remote Work From Home Data Entry Clerk for Entry Level Position.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Knowledge of real-time data streaming and real-time analytics Knowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory) Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. To enable test execution and analysis of performance data, this role may include aspects of mechanical, electrical, instrumentation, and software engineering.
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data job Company: Metroplus Health Plan in Roseland, NJ
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