Java Developer (Direct Hire)

Java Developer Permanent Position / Direct Hire!




· Collaborating with stakeholders for requirement gathering and design discovery, ensuring alignment between business needs and scalable data engineering solutions.

· Design scalable, low-latency services to host models; productionize prototypes on the cloud, including data pipelines, training; inference pipelines, and pre ; post-processing routines

· Designing, implementing, and optimizing new data pipelines using Apache Spark and PySpark on large-scale distributed application and AI systems.

· Develop and optimize data pipelines to collect, consolidate, and normalize data to feed to AI models for offline evaluation and real-time execution

· Building and orchestrating ETL workflows using Apache Airflow, ensuring reliable and timely data ingestion, transformation, and delivery.

· Developing and optimizing scalable data pipelines for multiple tenants using Google Cloud Platform (GCP) services such as DataProc and BigQuer ensuring secure, isolated environments for each tenant.

· Migrating and integrating multiple data sources into a centralized architecture to improve performance, consistency, and operational efficiency of the AI evaluation.

· Performing data validation and quality checks across pipelines using PySpark, conducting root cause analysis for mismatches, and implementing resolutions to maintain data trust.

· Working with structured and semi-structured data in databases like BigQuery, Cosmos and Microsoft SQL Server for data manipulation and querying.

· Create monitoring dashboards; perform latency tuning of deep learning models, scaling solutions to enterprise level; investigate and resolve performance issues.

· Run experiments to compare models, features, and hyperparameters; utilize A/B testing and continuous monitoring to validate and adjust models

· Writing and maintaining automation scripts in NodeJs and Python to streamline repetitive tasks and data operations.

· Managing code repositories and version control using Git, performing merges, resolving conflicts, and maintaining clean deployment practices.

· Maintaining documentation and dashboards in Confluence to monitor pipeline health, performance, and data insights.

· Collaborating cross-functionally with engineering, analytics, and product teams to ensure data quality and meet evolving business needs.

· Participating in testing activities using manual and automated test scripts to validate data transformations and pipeline reliability.

· Supporting continuous integration and deployment (CI/CD) using Docker, Jenkins, and infrastructure-as-code tools.



Full time direct hire