JLL Technologies Hiring Drive 2024 For Data Engineer 1 | Location Bengaluru

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JLL Technologies Hiring Drive 2024: JLL Technologies Hiring Drive 2024 for its Data Engineer 1. JLL Technologies Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics, or a quantitative discipline in science, business, or social science. if you are interested, please apply as soon as possible.

Company Name: JLL Technologies

Role: Data Engineer 1

Location: Bengaluru

Experience: 1+ years

Qualification: Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics, or a quantitative discipline in science, business, or social science.

Batch: Any

Job Type: Full Time

Salary: Best in Industry

JLL Technologies Hiring Drive 2024

Job Description:

  • We are looking for a Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team.
  • This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns.
  • This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

Requirements:

  • Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
  • Understanding of data structures, data modeling and software architecture.
  • 1 or more years of work experience and foundational knowledge on Big Data (Spark) and Cloud (AWS/Azure) technologies.
  • Coding experience in one of the languages like Python (preferred), Scala, Java, SQL etc.
  • Knowledge on Data Pipelines in Cloud and CICD tools like git/bitbucket, Jenkins/octopus etc.
  • Good analytical and problem-solving skills.
  • Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams.
  • Independent and able to manage and prioritize workload.
  • Ability to quickly and positively adapt to change

Responsibility:

  • Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements
  • Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development
  • Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales, Finance, HR, MDM, ODS & EDW
  • Develop data solutions that enable non-technical staff to make data-driven decisions
  • Develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
  • Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
  • Support users by developing documentation and responding to inquiries

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