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Familiarity with Databricks for big data processing and advanced analytics. Utilize Databricks for big data processing and advanced analytics. Knowledge of cloud computing and data warehousing solutions (e.g., AWS Redshift, Snowflake.
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Hands-on experience with Spark or ScalaGood experience in end-to-end implementation of data warehouse and data martsPreferred Qualifications: Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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2+ years hands on experience on GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc. Key Skills: Data Architecture, GCP, Data Governance, Metadata Management, Devops, CI/CD, Python, Scala.
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Experience with cloud-based data platforms (e.g., AWS, Google Cloud Platform, Azure) and big data technologies. Strong technical skills in data modeling, database design, data warehousing, and data visualization tools (e.g., SQL, Python, R, Power BI, etc.
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The successful candidate will play a key role in designing and developing an in-house Big Data Vulnerability Management System that leverages cloud technologies. Position SummaryWe are seeking a highly skilled and motivated individual to join our team as a Big Data Cloud-Based Vulnerability Management Data Analytics Developer.
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Internship project areas range from machine learning, using big data, native mobile applications, backend services, full stack web applications, or UX/UI focused development. Strong understanding of data structures and algorithms.
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Raising CRQ and following up of approvals from change managers, Perimeter Governance team, Site leadership, Application Owners and Change Management team Implementing the tunnel change on the firewall along with Network data team for routing the vendor NAT IPS on CSH side.
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Utilize advance analytics techniques such as ML, AI to drive data-based decisions on Microsoft platform (Azure)Conduct in-depth analysis of complex data sets to identify trends, patterns, and insights that drive business performance and inform strategic decision-making, utilizing tools such as Microsoft Azure Fabric, Mulesoft, and Power Plaform.
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Bigdata Developer Phoenix, AZ We are hiring an experienced Big Data Engineer with a strong focus on GCP to join our team in Phoenix, AZ. The ideal candidate will have extensive experience in Hadoop, Spark (Batch/Streaming), Hive, and Shell scripting and solid programming skills in Java or Scala.
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Job Title: Big Data Engineer Job Location: Phoenix, AZ Job Type: Contract Job Description: iSoftTek Solutions Inc is seeking a talented Big Data Engineer to join our team. You will work closely with cross-functional teams to design, implement, and optimize data processing and analytics systems utilizing Hadoop, Spark, and other big data technologies.
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10+ years of working experience in data engineering / data transformation / big data and solution architecture / other related. Influence the data management framework and ecosystem of the Big Data Platform; ensure departmental data needs are met and are consistent with the organizations architectural integrated design.
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Looking for a self-driven experienced Sr Engineer with good years of experience in big data ecosystem. Part of the ODS Hollow-out and Finance modernization initiatives, he/she would be expected to work on modernizing the data pipelines, leveraging FALCON provided data and using that to create Finance derived data assets in FODL enriched layer, which will eventually replace ODS and feed the downstream systems in Finance including Treasury, Regulatory Reporting, BASEL and CECL etc.
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You'll work alongside other experts to craft secure, scalable, and high-performance network infrastructures, leveraging your deep knowledge in data center and campus network architecture, automation, and cloud environments like AWS, Azure, and GCP. Your leadership will drive modernization efforts, improve internal processes, and ensure our network solutions meet both business needs and industry standards.
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Role :Big Data Developer. Big Data /Hadoop , SPARK , Python , Strong SQL. Maintain security and data privacy, working closely with data protection officer. Help define data governance policies and support data-versioning processes.
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Must have 5-8 years of Data Engineering experience in a Big Data environment. · Must have hands on experience building data ingestion pipelines from Oracle Recruitment Cloud to a Big Data Environment cloud or on-prem.
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big data jobs in Phoenix, Fernley, Nevada
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