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Solid experience implementing data lineage, data quality and data observability for big data workflows. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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We have revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. Work closely with a team of data scientists to leverage machine learning models to drive business performance.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Work with tools including Java Script, HTML/CSS, JSON, XML, Bootstrap, AngularJS, Jelly, REST webservice frameworks, API webservice frameworks, active directory federated services, SAML, oAuth, Public/Private key encryption framework, and Azure application and data hosting.
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AWS Certified Data Engineer – Associate. Building and managing data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and Athena. GovCIO is currently hiring for a Data Scientist with a strong Data Engineering background to design, develop, and maintain our data infrastructure on AWS, and to create descriptive and predictive models that impact productivity, decision-making, and provide strategic mission impact.
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Experience with big data technologies such as Databricks, Spark, SparkR. The ideal candidate will be skilled in statistical analysis, machine learning, and leveraging Azure technologies in big data to drive significant business impact.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Familiarity with big data technologies and distributed computing platforms such as Hadoop, Spark, or AWS EMR. Knowledge of data warehousing concepts and tools such as AWS Redshift, Google BigQuery, or Snowflake.
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We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model. At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth.
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This position manages the auditing of IT general computer controls (GCC) regarding: networks, operating systems, databases, computer operations, data security administration, and data center physical security to evaluate their effectiveness, identify risks, and recommend corrective action.
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We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.
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Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, Synapse, Redshift.
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big data jobs Title: associate in Atlanta, OR, Germany
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