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Diverse Lynx LLC is an Equal Employment Opportunity employer. - Define data mapping and lineage to produce accurate reconciliations across multiple sources. The candidate will also be responsible for data mapping and lineage definition in order to produce accurate reconciliations across multiple sources.
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Data Engineering experience primarily on Spark. Role: Data Engineer with Spark. Connecting data sources, importing data, and transforming data for Business intelligence.
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As Business/Information Analyst for Measurement Data Management (MDM) you will ensure that various sets of vehicle usage data are collected from the truck remotely ‘over the air’ in a backend IoT application, from where the data will be distributed to consuming applications for a vast range of business services and business purposes.
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The primary responsibility of this role is to lead the end-end process of acquiring, cleansing, transforming, and storing data from external vendors to AWS. The successful candidates will leverage internal tools and SDKs, utilize AWS services such as S3, Athena, and Glue, and integrate with our internal Archival Service Platform for efficient data purging.
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Collaborating with multiple technology teams that are upstream and downstream to the application such as Books & Records System, Pricing System, Data Warehouse. Role: Scala Data Engineer.
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Data masking of on prem PII data. Enable secured channels for data models and data science activities. Role : Lead Data Engineer. Role : Data Engineer. Take standard output data to lower environments for pre prod testing.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, 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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Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred. BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields.
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Highly proficient working in Azure cloud environment (e.g. Blob / ADLS, Databricks, Azure Data Factory, Event Hub) 3+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions.
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Big Data Platforms (Cloudera, Databricks), Big Data Technologies (Scala, Impala etc), Data Modelling & Data Architecture. Team is involved in the build out of a Data Lakehouse using Databricks, for the FX business line.
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Expert SQL development, analysis, design, and performance skills in database technologies such as DB2, Oracle, SQL Server, Cassandra, and Snowflake to build highly performant physical data models.
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6+ years of experience in SSAS- Multi Dimensional data modeling, Data Analysis, Data Modeling and Power BI. Working knowledge and experience with Data Management areas in terms of architecture, Extract Transform and Load processes, and Data Movement processes both in batch and on demand.
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Developing modern Data warehouse solutions using Databricks and AWS/Azure stack. Knowledge in Databricks DELTA lake for the Analytical data lake use case. Role – Data Engineer - Databricks.
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Additionally, you will analyze and interpret geospatial data, develop strategies for data management and quality assurance, and ensure compliance with industry standards and regulations.
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SkillOracle Utilities Meter Data Management(MDM) Experience using a metering software package from (Itron, Aclara, L&G) for AMI/AMR implementation. Comprehensive knowledge of recent trends in AMI/Headend/MDM including but not limited to Smart Grid, Service Oriented Architecture (SOA), IT-OT integration etc.
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Title: data Company: Diverse Lynx
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