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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
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Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka. Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Proficiency in ETL processes and data integration tools (e.g. MuleSoft, SAP PO/PI, SSIS, Azure Data Factory, Talend) Familiarity with cloud platforms such as Azure, AWS, or Google Cloud, particularly in data services (e.g., Azure SQL Database, AWS Redshift.
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Predictive Analytics/Data Mining: (e.g., Python, SAS Enterprise Miner) Data Visualization Tools (e.g. QlikView, Tableau, Power Bi) This include applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography). Familiarity with Army Corps of Engineers Regional Supplements for the Arid West and Great Plains.
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Strong technology capabilities including data visualization (Power BI/Tableau), data management (SQL/PLSQL) and understanding of programming languages (VBA, python) is preferred. IT skills (Energy Trading/Risk Management systems– Solarc Right Angle, Endur, etc, Advanced MS Excel, programming languages like Python, tools like Power BI.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, DBT, AWS Services Lambda, SNS, SQS, Event Bridge, and IoT core.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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But child care, adoption, and surrogacy are big decisions. At T-Mobile, we strongly encourage everyone, including people of color, veterans, military spouses, individuals with disabilities, lesbian, gay, bisexual, transgender, queer and non-binary people, and parents to apply.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Knowledge of statistical and data analysis tools and software, such as Stata, Python, R, SQL, and/or data visualization tools such as Tableau, Power BI, etc. Five (5) years of experience in government, non-profit, management consulting, and/or project management setting with a background in economics, statistics, data management, financial planning and analysis, or strategy and performance management methodology.
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The VP, Digital Operations achieves this by partnering with members of the Technology, Data and Innovation (TDI) enterprise, as well as teams supporting various clinical, academic, research, business administration and education programs across MD Anderson to develop a strategy and execution plan for how digital technologies will enable the institution's mission.
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The ideal candidate must have proven experience that emphasizes knowledge of standard compliance areas within the Renewable Industry including FCPA, Data Privacy, and other compliance regulations.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago
big data jobs Company: Travelnursesource in Houston, TX
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