SE - Software Engineer

As a Data Engineer, you will be responsible for designing, architecting, and delivering end-to-end solutions that replace manual/semi-automated processes with a cloud-enabled, automated, and analytics-driven platform. You will collaborate with business stakeholders, product owners, and engineering teams to define requirements, design and develop the API gateways and analytics and AI/ML. The ideal candidate has deep Data engineering skills, strong cloud and data expertise, and proven experience in building enterprise-grade data analytics products. In addition to hands-on development, you will provide technical leadership, ensure adherence to software engineering best practices, and support product lifecycle management.

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
• Familiarity with DevOps practices, CI/CD pipelines, and monitoring tools .
• Strong expertise in Python, Data Maturity model and familiarity with data analytics methods such as regression model
• Proficiency in full stack development:
  • Front-end: React, Angular, or similar frameworks.
  • Back-end: Python, Node.js or Java
  • 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.
• 4 to 5 years of data engineering / software development experience
• Certifications in cloud platforms (AWS/Azure/GCP) is a plus.

Key Responsibilities:

• Solution Architecture & Design
  • Define and implement cloud-native architectures for scalable and secure data platforms.
  • Design robust ETL pipelines and data integration frameworks .
  • Create and maintain application and data models , ensuring alignment with business requirements.
• API Development
  • Develop end-to-end solution , from front-end interfaces to back-end services and APIs.
  • Oversee code quality, architecture reviews, and best practices in software design.
  • Drive automation in build, deployment, and release management.
• Data Analytics & Reporting
  • Build and optimize analytics and reporting dashboards for actionable insights.
  • Implement solutions for data visualization, anomaly detection, and trend analysis .
• Agile Methodology
  • Collaborate with Product Management to define the roadmap, technical priorities, and release strategy.
  • Actively participate in creating development workflows and sprint planning through JIRA