Data Engineer

Role Overview: You will be responsible for translating business requirements and source system understanding into technical solutions using Opensource Tech Stack and Big Data technologies like Java. Your role will involve working closely with business partners to clarify requirements, defining solutions, designing, developing, documenting, and implementing new programs and enhancements. Additionally, you will be creating technical documentation, writing unit tests, integrating test frameworks, collaborating with operations for deployment, and ensuring production deployment of code. You will also be expected to come up with coding and design best practices, adapt quickly to new application knowledge, and thrive in a self-motivated, internal-innovation driven environment. Key Responsibilities: - Translate business requirements and source system understanding into technical solutions - Work with business partners to clarify requirements - Define solutions in terms of components, modules, and algorithms - Design, develop, document, and implement new programs and enhancements - Create technical documentation and procedures for installation and maintenance - Write Unit Tests covering known use cases - Integrate test frameworks in the development process - Collaborate with operations for deployment - Take ownership of production deployment of code - Come up with coding and design best practices - Adapt quickly to new application knowledge and changes Qualifications Required: Basic Qualifications: - Minimum of 6 months of work experience or a Bachelor's Degree Preferred Qualifications: - Bachelor degree in Computer Science - Minimum of 1 plus years of software development experience in Hadoop using Spark, Scala, Hive - Expertise in Object Oriented Programming Language Java, Python - Experience using CI CD Process, version control, and bug tracking tools - Result-oriented with strong analytical and problem-solving skills - Experience with automation of job execution, validation, and comparison of data files on Hadoop Environment at the field level - Experience in leading a small team and being a team player - Robust communication skills with proven ability to present complex ideas and document them clearly and concisely (Note: The Additional Information section has been omitted as it does not contain specific details relevant to the job description) Role Overview: You will be responsible for translating business requirements and source system understanding into technical solutions using Opensource Tech Stack and Big Data technologies like Java. Your role will involve working closely with business partners to clarify requirements, defining solutions, designing, developing, documenting, and implementing new programs and enhancements. Additionally, you will be creating technical documentation, writing unit tests, integrating test frameworks, collaborating with operations for deployment, and ensuring production deployment of code. You will also be expected to come up with coding and design best practices, adapt quickly to new application knowledge, and thrive in a self-motivated, internal-innovation driven environment. Key Responsibilities: - Translate business requirements and source system understanding into technical solutions - Work with business partners to clarify requirements - Define solutions in terms of components, modules, and algorithms - Design, develop, document, and implement new programs and enhancements - Create technical documentation and procedures for installation and maintenance - Write Unit Tests covering known use cases - Integrate test frameworks in the development process - Collaborate with operations for deployment - Take ownership of production deployment of code - Come up with coding and design best practices - Adapt quickly to new application knowledge and changes Qualifications Required: Basic Qualifications: - Minimum of 6 months of work experience or a Bachelor's Degree Preferred Qualifications: - Bachelor degree in Computer Science - Minimum of 1 plus years of software development experience in Hadoop using Spark, Scala, Hive - Expertise in Object Oriented Programming Language Java, Python - Experience using CI CD Process, version control, and bug tracking tools - Result-oriented with strong analytical and problem-solving skills - Experience with automation of job execution, validation, and comparison of data files on Hadoop Environment at the field level - Experience in leading a small team and being a team player - Robust communication skills with proven ability to present complex ideas and document them clearly and concisely (Note: The Additional Information section has been omitted as it does not contain specific details relevant to the job description)