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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Experience with modern data tools: Snowflake, BigQuery, dbt, Airflow, dagster, Fivetran etc. Experience with modern data tools: Snowflake , BigQuery, dbt, Airflow, dagster, Fivetran etc.
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Expertise in data architecture and data integration, particularly in the context of geographically distributed ETRM systems for various commodities. Develop an architecture and solution for client’s ETRM requirements and to import data from geographically distributed systems for multiple commodities.
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Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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1+ years experience with GCP and Azure Cloud Big Data tools (PowerBI/DataLake/ Azure Databricks) Our client is seeking a Data Engineer who is highly enthusiastic and has experience in Python and Databricks.
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We operate multiple geographically disperse data centers, including two of the nation’s largest healthcare data centers – both rated among the top five percent of data centers worldwide by MIPS.
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The firm is the No. 1 investment bank for all global M&A transactions, the No. 1 M&A advisor for the past nine consecutive years in the U.S., the No. 1 global restructuring advisor for the past ten consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by LSEG (formerly Refinitiv.
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Expertise in building data pipelines and ETL processes using DataBricks, dbt, and Python. Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, dbt, and Python.
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Certified Information Systems Auditor (CISA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), Certified Fraud Examiner (CFE) and/or relevant data analytics certification preferred.
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Work with developing and deploying data infrastructure and integrations in the cloud including data warehouse like snowflake, redshift etc. Develop ETL integrations with Snowflake - Data extraction, transforming and loading.
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Data Center/Cloud : Microsoft, Dell/VMware, HP, Cisco, AWS. Data/Analytics: Splunk, Tableau, Power BI, Click. Security: Okta, Crowdstrike, Palo Alto, Proofpoint, Cyber Ark, Sailpoint, Fastly, Fire-Eye, Fortinet.
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Knowledge of the modern data stack and experience with data and analytics technologies such as Teradata, Hadoop, Google BigQuery, Tableau, Alteryx, Spark, etc. Wells Fargo is seeking a Lead Data Product Management Consultant to work in the Consumer Data Products (CDP) group within Consumer Data, Analytics, & Artificial intelligence as part of Consumer and Small Business Banking (CSBB.
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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. 5+ Years of DataStage and Talend ETL and data integration experience.
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Assist with testing and data validation activities involving PwC, DSC, RJW, Celigo, and Orderful. Proven ability to manage testing and data validation processes with multiple stakeholders, including PwC, DSC, RJW, Celigo, and Orderful.
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data job Title: hadoop consultant Company: Kpmg in Dallas, TX
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