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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 8+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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8+ years professional experience in the big data space. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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Salesforce Data Cloud has been recognized as a leader in Gartner's inaugural Magic Quadrant for Customer Data Platforms (CDPs) in 2024. We'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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Drive onboarding, enablement, success, go-live, and healthy consumption of Data Cloud workloads. Leveraging advanced technologies like zero-copy data integration, predictive and generative AI, Salesforce Data Cloud is set to revolutionize customer engagement across sales, service, marketing, and the entire customer lifecycle.
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Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will work closely with our Finance, Strategy and Leadership Team. You will tackle key strategic issues using advanced analytics and a big data approach.
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Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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You will be a Sr. Data Engineer in a horizontal Dev Engineering team that includes onshore and offshore developers using best-in-class Google Cloud relational Data warehouse technologies, including Informatica Big Query, IICS, Talend, Python etc.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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6+ years designing, implementing, and managing cloud big-data architectures (Databricks, Hadoop, EMR, Spark, Redshift etc.) Develop and design complex solutions through collaboration across various data, data-centric applications, and/or Big-Data cloud architectures.
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4 years of experience in Working with SQL, Databricks, Spark and/or other Big Data technologies. 2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Experience with Big Data processing frameworks such as EMR, Athena and Big Query. 3+ years of experience with Big Data systems, including Hadoop, Spark. Solid background in Big Data infrastructure, Cloud Infrastructure and Software Management.
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big data jobs Title: medical Company: Inc in IN, West Virginia
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