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Devops Engineer (Big Data Streaming / Real Time)

8.00 to 13.00 Years   Pune   25 Oct, 2019
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

We are hiring Devops Engineer, Select candidate would work at end client location @ Pune Experience : 8+ Years Time Required to join : 15 Days. If Interested, Kindly pls. share resume to saikiran@vedainfo.in Engineer (Big Data Streaming / Real Time) Who you are: The Engineer (Big Data Streaming / Real Time) is responsible for designing, developing and supporting real time data pipelines and applications within Westpacs Data Driven Experiences Platform. You will be responsible for developing an expert-level understanding of the core capabilities of DDEP and building production grade streaming / real time data pipelines, application and components to extend the platform. What you will be doing: Design and build DevOps pipeline for large-scale implementation of streaming / real-time data pipelines for both analytical and operational data applications Build capabilities on the platform that enable data analysts to rapidly consume data pipelines through data applications and exploration capabilities Define and update data models and associated technical and business metadata Work closely with Product Owner/s, Architects and delivery teams to build systems that drive Westpac towards its strategic platform vision Optimise and contribute to existing Platform frameworks, components and templates enabling future development efficiencies Knowledge transfer throughout the organization via participation in CoPs, appropriate documentation and internal presentations establishing thought leadership and capability excellence on Westpacs platform What You Have/Can Do as a Minimum: Degree in Computer Science, Engineering, Mathematics, or equivalent experience Experience building batch and real-time data pipelines and applications in a production environment Experience with functional programming techniques Experience in Test Driven Development or Behaviour Driven Development Experience in logical and physical data modelling across structured, semi-structured and unstructured data technologies Software testing and release cycle experience Expert big data engineering skills including Java, Scala, Python, the Apache Big Data stack and Hortonworks HDF including: o Kafka o Spark Streaming o NiFi o Storm Experience in batch big data engineering skills including: o Hadoop o Spark o Hive o HBase SQL and relational database skills (MS SQL Server, Oracle, etc.) Proficiency with Cloud providers, preferably Azure, alternatively AWS, GCP, etc. Ability to express real-world processes in the languages of mathematics and probability Excellent communications skills and a team player Agile delivery experience (including Scrum, Kanban, SAFe) What You Can Do to Stand Out: Proficiency in API engineering including OpenAPI and Swagger Proficiency in multiple object-oriented language such as C++, Java, Scala, or C# Proficiency in Cloud Native data services (preferably Azure eg DataBricks, Azure ML, Azure Event Hub, Azure Data Lake, Cosmos DB ) Domain expertise in finance, credit risk, fraud, and/or marketing Proficiency with data visualization libraries (Bokeh, Matplotlib, d3.js) Machine learning or data science engineering experienceSalary: Not Disclosed by RecruiterIndustry: IT-Software / Software ServicesFunctional Area: IT Software - Application Programming, MaintenanceRole Category: Programming & DesignRole: Team Lead/Technical LeadEmployment Type: Full Time, Permanent ,

Keyskills :
linux jenkins git maven automation testdrivendevelopment bigdata sqlserver creditrisk datamodels datascience datamodeling dataservices datastreaming softwaretesting computerscience machinelearning dataengineering unstructureddata ealtim

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