Exciting Opportunity: Junior Data Engineer (Hybrid) – Join IFS in Colombo

Empower Your Data Engineering Journey with IFS!

Introduction

Are you passionate about data engineering and eager to work with cutting-edge technologies? IFS, a global leader in enterprise software solutions, is hiring a Junior Data Engineer to join its Data Platform Group. Based in Colombo, Sri Lanka, this hybrid role offers a chance to develop and optimize data pipelines, collaborate with dynamic teams, and make a real impact in the tech industry.

About IFS

IFS is known for empowering businesses worldwide with its innovative software solutions. As part of the IFS family, you’ll work in an inclusive, forward-thinking environment that values creativity, collaboration, and professional growth.

Role Overview

As a Junior Data Engineer, you’ll be a vital member of the Data Platform Group, responsible for building scalable data infrastructure, designing efficient data workflows, and supporting analytics to drive business decisions.

• Position: Junior Data Engineer
• Location: Colombo, Western Province, Sri Lanka (Hybrid)
• Type: Full-time

Key Responsibilities

In this role, you will:

• Design and maintain data ingestion frameworks to process structured, semi-structured, and unstructured data.
• Build and optimize ETL pipelines to ensure high-quality data flows into centralized systems like Elasticsearch.
• Monitor and enhance data ingestion processes for scalability and performance.
• Develop automated testing and monitoring tools for seamless operation.
• Implement real-time streaming pipelines and scalable systems for large-scale data processing.
• Collaborate with cross-functional teams to enhance data workflows and drive innovation.
• Create analytics tools to deliver actionable insights for business performance metrics.

Required Qualifications

To thrive in this role, you’ll need:

• 6–24 months of experience in building and optimizing Big Data pipelines and architectures.
• Hands-on experience with Elasticsearch and data query optimization.
• Strong analytical skills, especially with unstructured datasets.
• Proficiency in Big Data systems like Hadoop, Spark, or Flink Streaming.
• Familiarity with integration technologies, including Java, Python, SQL, and NoSQL databases (e.g., MongoDB).
• Experience with CI/CD pipelines, tools like GitHub, Jenkins, Docker, and distributed datastores such as MongoDB or DynamoDB.
• A Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

Preferred Skills (Not Mandatory)

• Experience with real-time data processing tools like Airflow, Luigi, or Azkaban.
• Knowledge of Agile practices, Microservices architecture, and containerization technologies like Kubernetes.
• Hands-on experience with SQL databases like Snowflake or Redshift.

Why Join IFS?

• Work on innovative, large-scale data projects.
• Enhance your skills in a collaborative and supportive environment.
• Gain hands-on experience with industry-leading tools and technologies.
• Contribute to meaningful solutions that impact businesses globally.

How to Prepare for the Role

1. Brush up on your Big Data fundamentals, focusing on tools like Hadoop and Spark.
2. Familiarize yourself with Elasticsearch and query optimization techniques.
3. Highlight your experience with CI/CD pipelines and Agile methodologies in your application.
4. Prepare to discuss your problem-solving skills and experiences working in dynamic teams.

How to Apply

If you’re ready to take your data engineering career to the next level, apply today!

• Application Link: Apply Now
• Deadline: Applications are reviewed on a rolling basis. Apply early to secure your chance!

Conclusion
This is an exceptional opportunity to grow as a data engineer at IFS, a global leader in enterprise software. Take the leap and contribute to innovative projects while honing your skills and advancing your career.

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Call to Action

👉 Apply Now and start your journey with IFS!