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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. + Experience with big data technologies such as Hadoop, Spark, and Hive.
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We are looking for a Senior Data Engineer to join our rapidly growing Data Engineering team. Experience with a modern data stack, including tools like Snowflake, Looker, Airflow, and dbt.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Proven work experience as a Data Analyst, Data Engineer , Database Developer, Data Architect, Business Analyst or similar role. Data Analyst will be responsible for creation of descriptive, diagnostic, predictive and prescriptive data analysis.
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The ideal candidate will possess in-depth knowledge of cybersecurity principles, data management best practices and have a proven track record of successfully implementing a monitoring and logging strategy in both structured and unstructured data within a big data environment.
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Salesforce customization, Salesforce training, Salesforce tools, Data governance, Change management, Salesforce documentation, Sales Enablement, Sales Operations, LMS, Digital Adoption, Training, and enablement.
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The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Learn more about what makes us different and how you can thrive as a Senior Data Engineer at MMA National. Data bricks, Microsoft Azure Data Engineer, and/or other cloud certifications.
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Job DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture.
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Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL). Strong knowledge of data visualization tools (e.g., Power BI). Work with IT and data engineering teams to ensure data quality and availability.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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You will be working closely with a stellar and tight knit team that has decades of combined financial experience in investment banking, hedge fund management, M&A, FP&A, Controllership and Big 4 Audit.
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Experience in standardized clinical code systems (e.g., SNOMED CT, LOINC, RxNorm) and common data models (OMOP). Experience with clinical data and/or reporting from EHR (e.g., Epic proficiencies, certifications, or experience with Epic Clarity/Caboodle.
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About Xentity We are a fast-growing data consulting and support services firm - focused on large data programs in data types such as geospatial, open, big, and IoT data.
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big data jobs Title: senior data engineer Company: Diverse Lynx in Denver, CO
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