About this position

We are looking for a Senior Data Engineer to join our Research and Development Centre in Colombo and be a part of our team of 300+ problem solvers who build brilliant tech, influencing billions of users globally.

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It’s ideal if you are with:

• Bachelor’s Degree in Computer Science/ Engineering/ Data Science/ Statistics or an equivalent qualification.
• Minimum 3+ years of experience in a data-intense role with some software development background.
• Strong understanding of data engineering and data science fundamentals.
• Good knowledge of working with data technologies, such as ETL, SQL, and Python.
• Python proficiency with experience in Pandas, Numpy, Matplotlib, Flask, and FastAPI libraries.
• Experience with GitHub and GitActions (version control).
• Hands-on experience with data visualization technologies such as Grafana/PowerBI/Streamlit (one or more).
• Hands-on experience in IoT integrations will be an added advantage (OPCUA/MODBUS/PROFIBUS/MQTT).
• Experience with cloud infrastructure services (Azure, GCP) is an advantage.
• Competency in machine learning principles and techniques is an advantage.
• Good understanding of container orchestration tools such as Kubernetes.
• Good understanding of Agile software development practices (Scrum).
• Experience with JavaScript is an advantage.
• Very good communication skills in English, verbal, and written.
• Ability to work on both internal and external client-facing projects and communicate with key stakeholders.
• Willing to work irregularly (i.e., European hours)

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It’s ideal if your expertise is to:

• Work with Solution Architects and Subject Matter Experts (SME) to understand client requirements.
• Develop new custom extractors using Python and deploy them in cloud infrastructure. This includes data discovery, preprocessing, and integration.
• Manage and maintain custom data extractors using backend technologies and languages i.e. Python, Spark, and Rest APIs.
• Author data transformations using SQL and manage DataOps pipelines.
• Develop and manage custom data solutions including data pipelines and data visualization dashboards.
• Develop and manage custom data models using Python for contextualizations.
• Take ownership of work and keep up to date with project deadlines.
• Build strong work relationships with the client's product management and development team.
• Drive continuous improvement of software quality, customer experience, and maintainability of products/features.
• Review team members’ code and provide constructive feedback.