Junior Data Engineer

The Junior Data Engineer will be responsible for creating, maintaining, and modifying data pipelines for the reporting and system’s needs.

DUTIES & RESPONSIBILITIES

• Design, build, and orchestrate scalable data workflows and architecture aligned with business goals. Develop and maintain robust batch and real-time data pipelines using modern tools and platforms.
• Manage structured and unstructured databases with a focus on performance, availability, and optimisation
• Ensure high standards of data quality, consistency, and accessibility across integrated systems
• Collaborate with cross-functional teams to gather requirements and translate them into data solutions
• Implement data governance standards covering security, privacy, and compliance
• Proactively monitor and troubleshoot system performance, ensuring uptime and reliability of pipelines
• Transform raw data into clean, well-documented, and report-ready datasets
• Maintain clear documentation of data processes, workflows, and architecture for knowledge sharing
• Other duties as assigned by the manager

KNOWLEDGE & EXPERIENCE

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field

Experience:

• 3+ years of experience working with data-driven solutions, with a focus on transforming healthcare or operational datasets into actionable insights to support process improvement and analytics initiatives.
• 2+ years of experience collaborating with stakeholders to design, build, and deploy scalable data engineering deliverables, including data pipelines, ETL workflows, and integrated data models tailored for analytical needs
• 2+ years of experience creating and maintaining self-service data infrastructure, such as datasets, dashboards, and backend integrations that empower end-users to explore metrics and monitor KPIs through BI tools

Credentials:

• Industry certifications in data engineering or cloud platforms/frameworks.

Knowledge and Skills:

• Data architecture design and data modeling (relational & dimensional), Development of batch and real-time data pipelines using ETL/ELT tools
• Strong proficiency in SQL, Python, and optionally Scala/Java
• Hands-on experience with cloud platforms: AWS, Azure, GCP
• Advanced database management with SQL Server, PostgreSQL, MongoDB, etc.
• Experience with big data technologies like Spark, Hadoop, and Kafka
• Data quality assurance, profiling, cleansing, and governance practices
• Use of orchestration and workflow tools such as Apache Airflow, DBT, and Talend
• Expertise in Microsoft Excel (pivot tables, macros, Google scripts)
• Familiar with documentation and design tools: Microsoft Word, PowerPoint, Visio, G Suite
• Skilled in handling and optimizing large-scale datasets and infrastructure