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Strong proficiency in Python, SQL databases such as PostgreSQL, and big data technologies such as Databricks and Spark. Experience with ETL optimization, designing, coding, and tuning big data processes in Databricks.
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Analyze and problem solve moderate sample and/or plate issues by utilizing data from; including, but not limited to, SOPs, the laboratory information management software (LIMS) system, data management programs, and instrument files; notice shifts and trends of samples and controls.
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The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
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Assess the current data environment and identify systemic changes, data model updates required to support migration from source(Enovia, Windchill and ARAS) to target system (Teamcenter) Develop and implement comprehensive data migration strategies and plans for Teamcenter PLM.
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Lead the execution of data migration activities, including data extraction, transformation, and loading (ETL) processes. Teamcenter Data Migration Expert. Analyze and map source data to target Teamcenter PLM structures.
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Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
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Designs are implemented using VHDL and support the following type of applications: gigabit serial interfaces, Radio Frequency (RF) and Electro-Optical (EO) Digital Signal Processing (DSP), control loops, data links, embedded processing, and processor interfaces.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position.
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May perform quality assurance monitoring or data quality reviews for important BSA/AML requirements. This individual will be responsible for working on key BSA/AML program elements and initiatives including Bank Secrecy Act/Anti-Money Laundering (BSA/AML), global sanctions, and customer due diligence.
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The role will pay curtail part in shaping future big data and analytics initiatives. Data Engineering and Analytics using AWS Glue, Informatica, EMR, Spark, Athena, Python. Data modeling and building Data Warehouse using Snowflake.
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Having developed and deployed complex big data ingestion jobs in IICS (or other ELT tool) bringing prototypes to production on Snowflake (or any data warehouse platform). Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, and design thinking.
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The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions.
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Must have knowledge of advance data science methods; examples include prescriptive, cognitive algorithms, big data analytics, commercial and open source Hadoop, data-mining, Python, “R”, machine learning, or NLP.
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Client uses NextGen as their backend process which uses Mirth Connect for all the interfaces from the data sources to them. This position will be responsible for the maintenance of the current interfaces, building new interfaces, testing the interfaces, and validating that the data received is what is being ingested into the NextGen/Mirth Clinical Data Repository (Mirth Results.
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big data jobs Company: Eteam Inc in Phoenix, WI, Maryland
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