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Hands on experience with big data frameworks and modern data technologies (Snowflake, dbt, Airflow, Tableau, SQL) This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Lead the team’s efforts to identify areas where we can better leverage technology and automate processes Identify potential areas to create operational efficiencies and automate manual processes Use digital analytics and automation tools to analyze data to identify patterns, trends, and anomalies that may indicate potential risks.
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Lead the design, develop, maintain, ETL (Extract, Transform, Load) processes and data pipelines for rule-based fraud detection system. Experience with data integration platforms is a plus (e.g., Databricks.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Position Responsibilities:Classify aerospace parts, components, tooling, assemblies, and kits under the US Harmonized Tariff Schedule (HTS), Sch B, ECCN, and USML.Lead the classification process (maintaining current master data, Part build process, Chemical Weapons Convention Global controls, Montreal Protocol, Mercury, Biobar, TSCA, FDA, Drug Precursors, Civil Duty Relief Programs, Drawback.
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We are seeking candidates experienced in Digital Transformation, particularly those proficient in Data (SME), and skilled in forming Strategic Partnerships with data platform companies like Snowflake and Databricks.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Data entry, data review, and GPS use. Minimum of four (4) field seasons of lead wetland delineation experience using the 1987 Corps of Engineers Wetland Delineations Manual and Regional Supplement(s) and appropriate wetland delineation training or coursework.
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Lead OxyChem HES&S data management information system initiatives and drive continuous improvement of existing HES&S processes and procedures. Assemble and analyze Health, Environmental, Safety, Security, Process Safety, Product Stewardship, Medical and Compliance Assurance data to identify appropriate metrics, trends, and exceptions to compete at world class HES&S performance.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Manage OneStream application as an administrator, which involves loading data from snowflake, maintaining business rules, and creating cube view reports. Manage data quality & consolidation across multiple batched and/or streaming ingestion sources.
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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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big data jobs Title: lead data engineer in Dallas, PR, France
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