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Lead Java Developer
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-07-19
Listing for:
Factspan
Full Time
position Listed on 2026-07-19
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
This role is part of the Mar Tech 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:Key Responsibilities
- Design and develop data ingestion, transformation, and orchestration pipelines using GCP (Big Query, 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.
- Must have expertise in Java based Spring Boot Application.
- Strong hands-on experience in GCP services:
Big Query, 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.
- Experience in Airflow DAG development for complex data pipelines.
- Experience with CI/CD and Dev Ops principles for data deployments.
- Strong troubleshooting and performance tuning skills.
- 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.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
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