Design, build, and maintain data pipelines and ETL processes .
Develop and optimize databases and data warehouses .
Implement data models and schemas to support analytics and reporting.
Ensure data quality , integrity, and governance.
Build software applications that interact with data systems.
Create APIs for data access and integration.
Develop front-end solutions for data visualization and user interfaces.
Required Qualifications
Graduate degree in Computer Science or related field.
3+ years of industry experience.
Proficiency in Python and strong knowledge of SQL and NoSQL databases.
Experience with data processing frameworks (e.g., Apache Spark, Hadoop).
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Expertise in HTML, CSS, JavaScript , and modern front-end frameworks.
Ability to analyze complex datasets and derive actionable insights.
Strong communication and collaboration skills; ability to work with cross-functional teams.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time