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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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Mercer Digital specializes in business and cloud consulting, with a goal of transforming our clients' businesses by leveraging expertise in big data, cloud computing, and enterprise services.
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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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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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Google Cloud DevOps, GKE, Terraform infra background, Google Cloud DevOps, Data Flow, Big Query, DevSecOps. Skills. Provision of Data Flow, Big Query using terraformCandidate should be from infra background.
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We are seeking a skilled Big Data Developer with hands-on experience in Apache Spark and SQL. You will design and develop scalable data applications, optimize data pipelines, and work closely with teams to deliver data-driven solutions.
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OUR STRATEGIC PRIORITIES Customer Focus Operational Excellence High-Performance Culture Innovation Financial StrengthOUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big and Execute Lead by Example Drive Continuous Improvement Learn and Seek Out Development At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup.
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Familiarity with cloud platforms, ideally Google Cloud Platform (GCP)Working knowledge of data storage solutions like Big Query or Cloud SQL and data engineering tools like AirFlow or Cloud Workflows.
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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. They have solid cloud experience GCP preferred and have a solid Data engineering background.
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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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About Us Civil & Environmental Consultants, Inc. (CEC) is consistently ranked as an Engineering News-Record Top 200 Design Firm, offering big firm opportunities with a small firm culture. The daily duties include the operation of robotic total stations and GPS receivers to accurately collect relevant data and information in a concise manner as well as cut brush, drive stakes, take detailed notes and diagrams and maintain company equipment and survey vehicles.
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Key Skills: Data Architecture, GCP, Data Governance, Metadata Management, Devops, CI/CD, Python, Scala. Determine best way to extract application telemetry data, structure it, send to proper tool for reporting (Kafka, Splunk.
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Work with Big Data Architect team to design target operating model as per standards. · Plan and migrate existing ETL processing from DataStage to Talend, define and transform the process to consume from AWS data lake instead of Oracle database.
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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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Exposure in Big Data Technologies and scripting, Hadoop, HDFS, Hbase, Hive, Shell, JavaScript, ElasticSearch, Logstash, Kibana, Redis, MongoDB, NoSQL DB2; will be an added advantage. Hands-on with application design, data management and automated testing.
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