Data Engineer

Company Description

IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

This role is all about hands-on technical prowess. You'll be in the driver's seat, working with autonomy, accountability, and technical brilliance. Your mission includes:

· Spotting high-value data opportunity within our product offerings, translating raw data into powerful features and reusable data assets.

· Serving as our data whisperer, guiding us towards the latest and greatest data technology and platform trends. You'll be the guru behind our data processing estimates and data platform evolution.

· Crafting and integrating data projects from the ground up. From framing problems and experimenting with new data sources and tools to the grand finale of data pipeline implementation and deployment. You'll ensure scalability and top-tier performance.

· Locking arms with ML Engineers, Data Scientists, Software Engineers, Solution Architects, and Product/Program Managers. Together, you will define, create, deploy, monitor, and document data pipelines to power advanced

analytics and AI solutions.

Qualifications

· 1-5 years in data engineering, skilled in scalable solutions like Data Lakes, Graph and Vector Databases (e.g., ADLS, neo4j, Elasticsearch).

· Proficient in data pipelines across cloud/on-premises, using Azure and other technologies.

· Proven ability in orchestrating data workflows and Kubernetes clusters on AKS using Airflow, Kubeflow, Argo, Dagster.

· Skilled with data ingestion tools like Airbyte, Fivetran for diverse data sources.

· Worked in large-scale data processing with Spark or Dask.

· Strong in Python, Scala, C# or Java, cloud SDKs and APIs.

· AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow, Kubeflow).

· Worked in DevOps, CI/CD automation with Bitbucket Pipelines, Azure DevOps, GitHub.

· Automate deployment of data pipelines and applications using Bash, PowerShell, or Azure CLI, Terraform, Helm Chats etc.

· Proven ability in leveraging Azure AI Search or Elasticsearch for content analysis and indexing, with a focus on creating advanced RAG (Retrieval Augmented Generation) services using Langchain.

· Proficiency in building IoT data pipelines, encompassing real-time data ingestion, transformation, security, scalability, and seamless integration with IoT platforms.

· Design, develop, and monitor streaming data applications using Kafka and related technologies.

· Implement and enforce data governance policies and standards across the data platform.

· A results-driven attitude, a passion for innovation, and a self-starting, proactive nature. You're organized, capable of juggling multiple tasks, and your creativity knows no bounds. You're a strategic thinker, always on the hunt for the next big thing.

Additional Information

Interviews and selections are made continuously. If you are interested, apply as soon as possible.

As a step in our recruitment process, all final candidates will undergo a background check, to get us an understanding of our future employees.

We respectfully decline all offers of recruitment and/or advertising assistance.