Analyst Programmer (Cloud & Data)

We are seeking an experienced Analyst Programmer (AP) to support cloud and data engineering delivery for a major organization. The role requires hands-on cloud development, Python programming, data integration, and modern data platform implementation.

⇒ Main Responsibilities

• Design, develop, and maintain cloud-based data solutions on AWS/GCP, using serverless and managed data services.
• Build and optimize data integration, ETL/ELT, and streaming data pipelines.
• Develop Python applications, scripts, and data processing components.
• Design and implement RESTful APIs and integrate data across systems.
• Perform data modeling and development using Spark framework.
• Work with SQL/NoSQL databases (e.g., Oracle, PostgreSQL, MongoDB), including SQL writing and query performance tuning.
• Support MDM/Customer 360, entity resolution, and data quality management.
• Use Kafka/CDC, Apache Airflow, infrastructure as code (IaC), Git, CI/CD, and agile delivery practices.
• Collaborate with stakeholders to translate requirements into scalable, reliable, and secure data solutions.

⇒ Qualifications & Experience

• Degree in Computer Science, Information Technology, Data Engineering, or equivalent.
• Minimum 4 years of IT experience, with at least 2 years in cloud development.
• Solid experience in cloud platforms such as AWS or GCP, with hands-on exposure to serverless and managed data services.
• Strong programming skills in Python.
• Experienced in SQL/NoSQL databases (e.g., Oracle, PostgreSQL, MongoDB), with strong SQL writing and query performance tuning ability.
• Experienced in data modeling, Spark framework, and API implementation (RESTful).
• Practical experience in data integration, ETL/ELT, or streaming data pipelines.
• Familiar with version control (Git), CI/CD pipelines, and agile delivery practices.
• Hands-on experience with MDM/Customer 360, entity resolution, data quality management, Kafka/CDC, infrastructure as code (IaC), and Apache Airflow will be an added advantage.