Key Responsibilities

• Design, develop, and optimize SQL queries and scripts for data transformation, aggregation, and integration.
• Build, maintain, and enhance scalable ETL/ELT pipelines on Big Data platforms.
• Support development and optimization of relational and NoSQL databases, data warehouses, and data lakes.
• Work with cloud-native GCP services, including BigQuery, Cloud Spanner, Workflow and Dataflow, to enable high-performance data processing.
• Apply version control and collaborative development practices using tools like Git.
• Implement workflow orchestration and support data modeling efforts with the BI team.
• Collaborate with cross-functional teams to ensure data quality, integrity, and security.
• Solve complex analytical problems leveraging SQL, data engineering tools, and programming expertise with Java and Python.
• Participate in sprint planning, code reviews, and quality assurance processes.
• Stay current with modern data engineering tools, machine learning workflows, and best practices.
  
  

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related technical field.
• Strong experience in SQL with hands-on expertise in writing optimized queries.
• Proficiency in Java and Python for data engineering and analytics tasks.
• Hands-on experience with cloud platforms, particularly GCP.
• Experience in OLTP and OLAP databases.
• Knowledge of ETL/ELT development, workflow orchestration, and data modeling.
• Familiarity with version control tools (e.g., Git).
• Experience solving complex analytical problems using data engineering tools.

• Experience with Apache data engineering services. (e.g., Apache Beam,  Spark, Kafka, Airflow). The experience with Apache Beam will be an added advantage.
• Exposure to machine learning languages and frameworks.
• Familiarity with statistical methods for data analysis and reporting.
  
  

Career Growth Path
This role is designed to evolve into a Senior Data Engineer, Analytics Engineer, or Data Scientist role, offering increasing responsibility in designing scalable data solutions, advanced analytics, and machine learning workflows.

Why choose Qoria Lanka?

In this role, you will:

Support tech with purpose...

At Qoria Lanka, your work truly matters. With every customer interaction, you’ll be helping children stay safe online. It feels good to do good.

With people who care...

One of our values is ‘Care, Always’. Our Support Team lives and breathes that, every day. We also look after each other and help create a supportive environment for all.

Through work that you love...

Being a Data Engineer takes skill, energy and resilience. It can also be incredibly rewarding. Here, your efforts will be visible and you’ll love the impact you have.

And a career that you own...

A proven career path forward, with real opportunities to progress your career into other teams and departments within the company. Exposure to industry leading tech, developed in-house by an amazing engineering team. Regular company wide lunch and learn sessions

We'd love to hear from you. Please submit your application if you would like to be considered for this opportunity.