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Data Engineer

2.00 to 5.00 Years   Pune   09 Dec, 2021
NTT Global Delivery Services Limited
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

A Data Engineer is an IT expert that enables data-driven decision making by collecting, transforming, and publishing data. In NTT Data, a Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance, scalability and efficiency, reliability and fidelity, flexibility and portability. The main mission of a Data Engineer is to turn raw data into information creating insight and business value. Responsibilities

  • Build large-scale batch and real-time data pipelines with data processing frameworks in GCP cloud platform
  • Use an analytical, data-driven approach to drive a deep understanding of fast changing business.
  • Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management.
  • Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution.
Requirements
  • Bachelor s degree in Computer Science, Computer Engineering or relevant field.
  • 2+ years experience in a similar role.
  • Expertise as a software engineering using Scala/Java/Python
  • Experience in Advanced SQL skillset - preference on using BigQuery
  • Good knowledge on Google Managed Services as Cloud Storage, BigQuery, Dataflow, Dataproc, and Data Fusion
  • Experience using workflow management
  • Good understand of GCP Architecture batch and streaming
  • Strong knowledge of data technologies and data modeling.
  • Expertise on building modern, cloud-native data pipelines and operations, with an ELT philosophy.
  • Experience with Data Migration / Data Warehouse.
  • Intuitive thinking of how to organize, normalize, and store complex data, enabling both ETL and end users.
  • Passion for mapping and designing ingestion and transformation of data from multiple sources, creating a cohesive data asset.
  • Good understanding of developer tools, CICD etc.
  • Excellent communication, empathetic with end users and internal customers.
Nice-to-have:
  • Google Cloud Data Engineer Certification
  • Experience using Big Data echo system Hadoop, Hive, HDFS, Hbase
  • Experience with Agile methodologies and DevOps principles.
What we look for
  • Passion. Staying ahead of the curve, solving tough problems. That is hard to do without a genuine passion for technology and conviction in your ideas.
  • Curiosity. We aim to solve hard business problems, using the latest technology and research. Curiosity is key in providing fresh perspective and generating new approaches.
Job Segment: Database, Computer Science, Cloud, Developer, Java, Technology ,

Keyskills :
sqljavadata warehousinginformaticapythonbig datacloud storagedata migrationdata processingdeveloper toolsstatements of work sowdatadriven decision makingrealtime data

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