Data Engineer

Atlanta
|8 years of exp
|Full Time

Posted: 1 week ago• Recruiter recently active

Job Location

Atlanta

Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed

Skills

Python

Java

SQL

Monitoring

Google Cloud Platform

Data Quality

Spring Boot

Big Query

Airflow

Apache Beam

logging

Alerting

GCS

Dataflow

Cloud Composer

Batch Data Pipelines

Streaming Data Pipelines

About the job

Job Title: Data Engineer +Java – 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

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.

.Education:

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.