Cloud Data Engineer

3 weeks ago

Singapore KYNDRYL (SINGAPORE) PTE. LTD. Full time
Roles & Responsibilities

Job Description Summary

Designs and builds data platforms, ensures availability of clean and normalized data sets, and adheres to regulations and policies using a well-defined methodology, critical thinking, domain expertise, consulting, and software engineering.


Job Description

Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.

As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation.

In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation.

Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist.

Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful.

So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.


Job Qualifications

Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.


Required Skills and Experience

  • 5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
  • Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation
  • Organize and lead educational and ideation AI and Generative AI workshops for customers
  • Understand customer's needs and assess their data maturity
  • Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
  • Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
  • Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
  • Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
  • Have experience with big data frameworks on prem and on cloud
  • Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients’ requirements
  • Lead integration and deployment of data and AI products
  • Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
  • Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
  • In-depth understanding of big data technologies, streaming applications and data modelling
  • Experience working with customers in different industries and understanding their specific challenges and requirements

Preferred Skills and Experience

  • Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving.
  • Cloud certifications related to data, analytics and architecture in one of AWS, GCP, Azure
  • Excellent communication and interpersonal skills to work collaboratively with clients and team members.
  • Comfortable working with statistics.
  • Advanced skills in PowerPoint and Excel.
  • Strong Business acumen and understanding of industry trends and challenges in Data, AI and Generative AI .
  • Strong leadership skills and proactive and self-driven attitude.
  • Advanced communication and storytelling skills.
  • Highly adaptable and flexible through shifting priorities.

Tell employers what skills you have

Azure
Big Data
ETL Tools
Pipelines
AWS
Interpersonal Skills
Data Transformation
Software Engineering
ETL
Data assessment
Data Engineering
Customerfocused
Flask
Data Migration
Python
Statistics
GCP
Data Analytics
Databases
FastAPI

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