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Develop and implement ITAM (IT Asset Management) strategies, best practice, and procedures to optimize data management. 2+ years of experience with ServiceNow. In-depth knowledge of hardware assets, data analysis, and ITAM best practices.
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Perform research, data collection, quality assurance, analysis and problem solving (Python, SQL, Informatica DQ, Unity Catalog in Databricks,Triage & remediate data quality, Data integrity or data management issues.
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Prepare data summaries, reports, manuscripts and presentations of research results. Gather and analyze data and develop new ideas that promote current research. In-depth knowledge of protein structural biology including experimental methods for determining protein structure such as X-ray crystallography, NMR, chemical cross-linking, cryo-EM, etc.
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Must have experience on ETL development life cycle, best practices of ETL pipelines, thorough work experience on data warehouse using combination of Python, Snowflake & AWS ServicesData engineering experience with AWS Services (S3, Lambda, Glue, Lake Formation, EMR), Kafka, Streaming, Databricks is highly preferred.
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Leverage a modern tool stack including Snowflake, Atlan, Fivetran, Docker, AWS, and Astronomer (Airflow) to cultivate an environment where analysts and data engineers can autonomously enact changes in an automated, thoroughly tested and high-quality manner.
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Strong knowledge of data warehousing solutions and relational SQL and NoSQL databases, Snowflake, STRONG experience in ETL, leveraging IBM DataStage - Experience with AWS cloud services: EC2, RDS, MSK, Lambda- Experience with object-oriented/object function scripting languages a plus- Solid analytical skills and the ability to understand complex business requirements.
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Increase awareness and provide consistent communication with all key stakeholders (Powerschool Data Quality Team – including Academic Counselor, ELL Coordinator, 504 Coordinator, and Cafeteria Manager.
$19 - $23 an hourFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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What does a successful Cybersecurity Data Engineering Director do at Fiserv? Experience with Big Data frameworks, querying tools, and analytics tools in a large-scale implementation in an Enterprise environment (Oracle and BigQuery.
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Experience with data analytics of large ERP applications such as MS D365, SAP, Oracle, PeopleSoft, or JD Edwards. Identify, prioritize and execute on high-value opportunities to improve key report and data risk services methodology; including developing and delivering training, whitepapers, desktop procedures for best-practice evaluation methods by business application (prioritization on Oracle, SAP, Microsoft D365, Workday, NetSuite and other tier 1 business applications.
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Consulting experience using supply chain planning/forecasting and data visualization tools, such as Tableau, Llamasoft Supply Chain Guru, BPI, JDA, etc. Advanced data mining and data analysis skills with expertise using MS Excel pivot tables, macros, index/match, vlookup, VBA, data links, etc.
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The Senior Acquisition & Retention Manager will work closely with marketing teams in our partners’ business to influence and impact results, using data, experience, and best practice to help them grow their customer base.
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Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning. - Preparation of data for treatment planning systems Development/improvement of dose measurement systems and protocols and software for dosimetry purposes (including spreadsheets and databases.
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Must have the ability to understand and interpret shopper and category insights research and a strong understanding of syndicated data (IRI/Circana or Nielsen), panel data, shopper-card data is required.
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The ideal candidate for this Senior Data Engineer role will have expertise in Databricks, preferably in building robust ETL solutions, and in Python (PySpark) and Delta tables. Expertise in Databricks, Python, PySpark, and Delta tables for data processing and manipulation.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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data job Title: data manager Company: Deloitte in Florence, KY
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