Gartner Off Campus Drive | Associate Software Engineer

Gartner Off Campus Drive 2023: Hiring Freshers as Associate Software Engineer for Gurgaon, India. You can find more details about eligibility and the application process below.

Gartner Hiring Details :-

Company Name:Gartner
Post Name:Associate Software Engineer
Salary: 6.8 LPA (via Glassdoor)
Degree:Bachelor’s/Master’s Degree
Batch:2019/2020/2021/2022/2023/2024
Experience:Fresher
Job Location:Gurgaon, India

Key roles and responsibilities:-

  • Participate in architecture design and implementation of high-performance, scalable and optimized data solutions.
  • Design, build and automate the deployment of data pipelines and applications to support data scientists and researchers with their reporting and data requirements.
  • Integrate data from a wide variety of sources, including on premise databases and external data sources with rest APIs and harvesting tools.
  • Collaborate with internal business units and data science teams on business requirements, data access, processing/transformation and reporting needs and leverage existing and new tools to provide solutions.
  • Effectively support and partner with businesses on implementation, technical issues and training on the datalake ecosystem
  • Work with team on managing AWS resources (EMR, ECS clusters, lambda, glue etc.) and continuously improve deployment process of our applications
  • Work with administrative resources and support provisioning, monitoring, configuration and maintenance of AWS tools.
  • Promote the integration of new cloud technologies and continuously evaluate new tools that will improve the organization’s capabilities while leading to lower total cost of operation.
  • Support automation efforts across the data analytics team utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) / Continuous Delivery (CD) tools such as Jenkins.
  • Work with the team to implement data governance, access control and identify and reduce security risks.

Academic qualifications :-

  • 0.5-2 years of experience in Solution, Design and Development of Cloud based data models, ETL Pipelines and infrastructure for reporting, analytics and data science
  • Experience working with both structured and unstructured data

Knowledge, skills and attributes:-

  • Experience working with Spark, Hive, HDFS, MR, Apache Kafka/AWS Kinesis
  • Experience with version control tools (Git, Subversion)
  • Experience using automated build systems (CI/CD)
  • Experience working in different programming languages (Java, python, scala)
  • Experience of Data Structures and algorithms
  • Knowledge of different databases technologies (Relational, NoSQL, Graph, Document, Key-Value, Time Series). This should include building and managing scalable data models.
  • Knowledge of Cloud based platforms (AWS)
  • Knowledge of TDD/BDD
  • Strong desire to improve upon their skills in ETL, software development, frameworks and technologies

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