Job Title: Java Developer + Data Engineer – Onsite (Spring Boot / Java / Google Cloud Platform / Airflow / SQL / Python)
Location: Atlanta (Onsite)
Experience: 8-10 years
Employment Type: Full Time
About the Project
This role is part of the MarTech Data Engineering POD supporting a Client Facing Java based Spring Boot application. The initiative aims to build a scalable data warehouse solution which aggregates, transforms and loads sales data into MongoDB from Big Query with the help of Airflow and Dataflow. Finally, publish data with the help of Spring Boot application.
Must have:
Tech: Java, Spring Boot, Google Cloud Platform, Big Query, SQL, Python, Airflow, Apache Beam
Domain: MarTech, Retail
Key Responsibilities:
- Design and develop data ingestion, transformation, and orchestration pipelines using Google Cloud Platform (BigQuery, Dataflow, Cloud Composer) and Airflow.
- Implement and maintain data integrations between MongoDB and Big Query, ensuring high performance and scalability.
- Build and optimize ETL/ELT workflows to support data orchestration, transformation and warehousing.
- Implement data quality checks, monitoring, and exception handling frameworks to ensure clean and reliable data.
- Work closely with Lead DE and SME to translate Requirements into data pipelines and orchestration rules.
- Support performance tuning, data reconciliation, and defect resolution during testing and hypercare phases.
- Collaborate with QA team for end-to-end test validation and ensure production readiness.
- Participate in daily Agile ceremonies, sprint reviews, and deployment planning.
Required Technical Skills:
- Must have expertise in Java based Spring Boot Application.
- Strong hands-on experience in Google Cloud Platform services: BigQuery, Dataflow, GCS, Cloud Composer (Airflow).
- Proficiency in SQL for data profiling, transformation, and performance optimization.
- Proficiency in Python for pipeline automation, scripting, and orchestration.
- Experience building batch and streaming data pipelines.
- Exposure to working with marketing or customer engagement platforms is a plus.
- Understanding data quality, logging, monitoring, and alerting best practices.
Preferred Skills:
- Experience in Airflow DAG development for complex data pipelines.
- Experience with CI/CD and DevOps principles for data deployments.
- Experience in SentinelOne for Data Governance.
- Strong troubleshooting and performance tuning skills.
Soft Skills & Attributes:
- Strong problem-solving skills and attention to detail.
- Ability to work effectively in a distributed global POD model (onsite + offshore).
- Should be able to work in client facing environment.
- Proactive communication and ownership mindset.
- Comfortable working in fast-paced agile environments with tight timelines.
- Excellent verbal and written communication skills.
Education:
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
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