Junior Data Engineer

Position Overview
We are seeking a Junior Data Engineer / Software Engineer to support the development and maintenance of data pipelines, ETL/ELT processes, cloud-based solutions, software services, APIs, and reporting platforms.
The ideal candidate will have working knowledge of Python, SQL, Java, AWS, REST APIs, and GraphQL, along with an understanding of relational and non-relational databases. This is an excellent opportunity for someone looking to grow across both data engineering and software engineering.
 
Key Responsibilities
Develop, maintain, and support data pipelines and ETL/ELT processes using Python, SQL, AWS, Azure, and SSIS.
Extract, transform, validate, and load data across multiple systems.
Support cloud-based data solutions using AWS S3, Glue, Lambda, Redshift, RDS, and CloudWatch.
Write and optimize SQL queries, stored procedures, views, and transformation logic.
Support data integration across relational and non-relational databases.
Assist with data modeling, data warehousing, data marts, schemas, and dimensional models.
Develop, test, and support software services using Java and Python.
Develop and consume REST APIs, including authentication, JSON, HTTP methods, error handling, and documentation.
Support GraphQL APIs, including schemas, queries, mutations, resolvers, and integrations.
Support API integrations between internal applications, data platforms, and external services.
Monitor pipelines, APIs, and applications and assist with troubleshooting.
Support data quality, performance, and processing issue resolution.
Develop and maintain dashboards and reports using Tableau and Power BI.
Use Git and GitHub for version control, collaboration, and pull requests.
Participate in testing, code reviews, deployments, and production support.
Document data flows, API specifications, transformation rules, and technical processes.
Use approved AI-assisted development tools such as GitHub Copilot and AI agents in accordance with security and confidentiality requirements.
Collaborate with engineers, architects, analysts, and business stakeholders.
 
Required Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or related field. Equivalent practical experience may be considered.
0–2 years of experience in data engineering, software engineering, application development, database development, or a related field.
Working knowledge of:

• Python
• SQL
• Java
• AWS
• REST APIs

Basic understanding of ETL/ELT, data pipelines, and data integration.
Understanding of relational database concepts including tables, keys, joins, indexes, views, and normalization.
Foundational knowledge of GraphQL, including schemas, queries, and mutations.
Familiarity with software development practices including testing, debugging, code reviews, documentation, and version control.
Familiarity with Git and GitHub.
Strong analytical, problem-solving, communication, and collaboration skills.
 
Preferred Qualifications
Hands-on experience with AWS S3, Glue, Lambda, Redshift, RDS, and CloudWatch.
Experience with Microsoft Azure data services.
Experience with SSIS / SQL Server Integration Services.
Familiarity with NoSQL databases such as DynamoDB or MongoDB.
Experience developing or consuming REST and GraphQL APIs.
Familiarity with Postman, Swagger, or OpenAPI.
Experience with Java, Spring, or Spring Boot.
Experience with Tableau or Power BI.
Exposure to data warehousing and dimensional modeling.
Knowledge of JSON, XML, and semi-structured data.
Familiarity with CI/CD, containerization, monitoring, and cloud deployment.
Experience with GitHub Copilot, AI agents, or other approved AI-assisted development tools.
 
Core Technical Skills
Python
Java
SQL
AWS
Azure
REST APIs
GraphQL APIs
ETL/ELT
SSIS
Relational & NoSQL Databases
Data Modeling & Data Warehousing
Git & GitHub
Tableau / Power BI
API Testing & Documentation
GitHub Copilot / AI Agents
 
Key Competencies
Strong analytical and problem-solving abilities.
Engineering mindset with a willingness to learn and grow.
Understanding of data quality, accuracy, security, and governance.
Ability to collaborate with both technical and non-technical stakeholders.
Strong written and verbal communication.
High attention to detail and commitment to quality.
Ability to quickly learn new technologies, APIs, programming languages, and cloud platforms.
Responsible use of AI-assisted development tools while protecting confidential information.