Data Engineer

Required Skills & Experience:

• Expertise in cloud data architecture (GCP or Azure).

• Strong experience in ETL design, data integration, and database management (Alteryx, SQL and NoSQL).

• Hands-on experience in API development such as REST, GrapQL and Data streaming platform such as Kafka

• Hands on experience with data analytics and visualization tools (Qlik Sense, Power BI, or Tableau).

• Familiarity with AI/ML technologies and creating API endpoints

• Experience with DevOps practices, CI/CD pipelines, and monitoring tools.

Proficiency in full stack development:

o Front-end: React, Angular, or similar frameworks.

o Back-end: Python, Node.js or Java

o Databases: PostgreSQL, BigQuery, NoSQL

• Strong leadership in Agile/Scrum environments with JIRA or similar project management tools.

• Excellent problem-solving, architectural thinking, and communication skills

Qualifications:

• Bachelor’s or master’s degree or related field.

• 5+ years of software development experience

• Certifications in cloud platforms (AWS/Azure/GCP) is a plus.

Solution Architecture & Design

o Define and implement cloud-native architectures for scalable and secure data platforms.

o Design robust ETL pipelines and data integration frameworks.

o Create and maintain application and data models, ensuring alignment with business requirements.

API Development

o Develop end-to-end solution, from front-end interfaces to back-end services and APIs.

o Oversee code quality, architecture reviews, and best practices in software design.

o Drive automation in build, deployment, and release management.

Data Analytics & Reporting

o Build and optimize analytics and reporting dashboards for actionable insights.

o Implement solutions for data visualization, anomaly detection, and trend analysis.

Agile Methodology

o Collaborate with Product Management to define the roadmap, technical priorities, and release strategy.

o Actively participate in creating development workflows and sprint planning through JIRA