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They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape.
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Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query) Bachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
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This role involves setting up and maintaining permanent data pipelines from diverse sources into our data fusion engines, specializing in drone data, satellite imagery, RF emissions, OPIR data, Ad tech, AIS, ADSB, CTV, and full-motion video data.
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Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.
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Role Overview: Amplifon Americas, parent company to Miracle-Ear and Amplifon Hearing Healthcare, a global leader in hearing health care, has a strong demand for an authentic, creative, diverse and versatile candidate for our Summer (ME) Miracle Ear Data Analytics Internship.
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Data Center Installer , you will be responsible for supporting the installation and maintenance of data center infrastructure, ensuring the highest levels of performance and compliance. as a Data Center Installer or in a related field.
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Proficiency in data governance tools (e.g., data catalogs, data dictionaries, data lineage). Minimum 5 years of experience in data governance, data quality, or similar roles.
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Benefits: 401(k) Bonus based on performance Flexible schedule Home office stipend Paid time off Vision insurance Wellness resources We have job openings available for data entry, remote customer service, and administrative assistant roles.
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6+ years of experience in Data Engineering or Data Architecture or a related role such as a Data Operations Engineer; must have expert proficiency with data warehouses, including architecture and lifecycle.
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Title: data Company: Wells Fargo in Arden Hills, MN
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