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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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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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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. 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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Experience with a modern data stack, including tools like Snowflake, Looker, Airflow, and dbt. Configure data consumption tools such as Looker and Airflow to support self service analytics.
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Interview #1 In Depth Technical Discussion Chat with Lead Big Data Engineer (45-60 minutes) We are looking for a Senior Big Data Engineer who will work on building and managing Big Data Pipelines for us to deal with the huge, structured data sets that we use as an input to accurately generate analytics at scale for our valued Customers.
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Previous college/university teaching experience at an AACSB-accredited institution on a wide range of business analytics courses with special consideration for those who teach management science, managerial statistics, business analytics, business intelligence, knowledge discovery, big data analytics, or data mining/warehousing.
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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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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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Experience designing and building data pipelines using APIs, BigQuery and Streaming ingestion methods. Learn more about what makes us different and how you can thrive as a Senior Data Engineer at MMA National.
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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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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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The Dish Retail Wireless Sales Team is looking for an experienced and detail oriented Business Operations Analyst to support retail growth and data analytics needs. Analyze marketing data and provide recommendations on placement of dollars and expected ROI.
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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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We are seeking a skilled and motivated Drilling & Completions Data Scientist to be an integral part of the team focused on unconventional reservoir development in our newly formed US onshore division.
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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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big data jobs Title: data administrator in Denver, CO
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