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Implement data quality and validation checks to ensure accuracy and consistency of data. LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Data Quality: Exposure of all the phases of testing, data validation and data reconciliation. Looking for a savvy Sr Data Engineer to join team of Modeling / Architect experts.
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Data Science and Applied AI assets should not only be high quality, but also drive a sustained competitive advantage and delivering a superior experience to our internal, external customers and improving efficiency.
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You will be pivotal in conducting internal audits, collecting, and analyzing production data to evaluate product quality, and driving root cause analysis to recommend corrective actions.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. 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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Experience working with data management projects having experience in data analysis, data governance, data quality and lineage. Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.Data Analysis - Sources, compiles, and interprets data.
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Collaborate with software architects, product managers, engineering managers, and engineers to architect and develop the Best-In-Class data and software development practices/methodologies in delivering value quickly to stakeholders without sacrificing software quality.
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Understanding of data governance, data quality, and data integration techniques. Proficiency in Microsoft Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake, etc.
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You will implement process to continuously detect model and data drift and remedy to ensure high quality. You will design, architect, implement and deploy high-performing data science pipelines that combine data ingestion/transformation, ML inferences, rules engines and delivery of insights to other systems.
$99,900 - $267,570 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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AWS Data Architect. 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.
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You will be involved in holistic surveillance build out which will require excellent understanding and hands-on experience in big data (Hadoop - Cloudera stack) technologies like hive, spark, Kafka, Angular JS to architect, develop and support sophisticated analytics pipeline using Machine Learning algorithms.
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He/she will be a critical partner driving cohesion of strategy and execution between Digital Lab Channel teams, MABI, BTS, Digital Media Optimization, and agency partners with a focus on quality and standardization of HCP media data across the enterprise.
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Primary back up for the Quality Engineering Manager. This role monitors Supply Chain, in coordination with Supplier Quality Engineer and ensures process control employment both internally and externally.
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Implement ETL/ELT pipelines and ensure data integrity, quality, and security throughout the process. 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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data quality jobs Title: data architect Company: Pwc in Whippany, NJ
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