Description

You will design and maintain scalable data pipeline architectures and full-stack applications, owning the full lifecycle from technical design to component testing.

Responsibilities

• Design and implement coherent, scalable data pipeline architectures for consolidated repositories.
• Build ETL infrastructure to extract, transform, and load data from diverse sources using SQL and big data technologies.
• Develop and secure ETL processes to move data between source and target systems.
• Create and maintain APIs to facilitate data access and downstream consumption.
• Perform technical design and component testing for data and analytics tools.

Required Skills

• 9+ years of experience in Java application development and large-scale technology projects.
• 5+ years of experience writing SQL.
• Full stack expertise in Java, Spring Boot, Python, and JavaScript.
• Experience with front-end frameworks such as React, Angular, Node.js, or Vue.
• Proficiency with RDBMS including Oracle, MySQL, or PostgreSQL.
• Strong understanding of service-oriented architecture (SOA) and RESTful web services.
• Knowledge of JSON, XML, XSD, WSDL, JDBC, MQ, and SOAP concepts.
• Experience with data engineering, NoSQL databases, and frameworks like Apache Spark.
• Experience with Git, GitHub, or Subversion in an agile environment.

Preferred Skills

• ETL development using Informatica PowerCenter, IBM DataStage, or B2B Data Transformation.
• Experience with Oracle 12g, AWS RDS, or database appliances.
• Knowledge of IBM Master Data Management (MDM) and metadata-driven enterprise reporting platforms.

Key Skills

Education

Any Graduate