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Hiring for Cloud Data Engineer in MNC Mumbai

7.00 to 12.00 Years   Mumbai City   10 May, 2020
PES HR Services
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaApplication Programming / Maintenance
EmploymentTypeFull-time

Job Description

Immediate opening for Cloud Data Engineer in MNC @ MumbaiLocation : Seepz,Andheri Experience : 7 to 15 years.Job Title: Professional Cloud Data EngineerResponsibilities for Data Engineer

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Qualifications for Data Engineer
  • Advanced working SQL knowledge and experience working with relational database, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing big data data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
Candidate will qualify only if he has Professional Certification from Google Data EngineerIf interested kindly revert with following details on:Total Experience: Relevant Experience : CCTC: Notice Period: Reason For Change: Current Location: DOB: Thanks & Regards, Pranjali Sr. Recruiter T: +91-022-49856844/ |

Keyskills :
relationaldatabase sql aws datawarehousing ataengineer clouddata extractiontransformation loading

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