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# Java Consultant

- **Company:** Financial Industry Regulatory Authority, Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Automation of Tests, Unit Testing, Big Data, Cloud Computing, Information Systems, Continuous Integration, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Relational Databases, DevOps, Amazon DynamoDB, Identity and Access Management, PostgreSQL, MongoDB, MySQL, NoSQL, Object-Oriented Software Development, Performance Tuning, Simple Data Format, Workflow Management Systems, Parquet, Data Storage Technologies, Data Ingestion, ReactJS, Apache Spark, Software Security, State Machines, Amazon Virtual Private Cloud (VPC), Cloudformation, Amazon Relational Database Service, Data Lakes, AngularJS, Information Technology, Cassandra, Avro, AWS Glue, Presto, Front End Software Development, Functional Programming, Cloudwatch, Api Gateway, Terraform, Data Pipelines, Sql Tuning, Microservices
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/df4d55a5-0c0e-4efb-9a77-424c2c9e6dfa/senior-java-consultant

## About the Role

Proficiency in Java, Python, and/or Node.js, with solid object-oriented development and RESTful API design; familiarity with microservices architecture.

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Working experience with Big Data processing frameworks such as Apache Spark, EMR (Presto, Trino), and Athena.

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Experience building ETL/ELT pipelines for data ingestion, transformation, and loading, including batch and (ideally) streaming processing.

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Understanding of data lake and data warehouse patterns - partitioning, schema management, and file formats (Parquet, ORC, Avro) - with SQL performance tuning for analytical workloads.

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Exposure to workflow orchestration and scheduling (AWS Glue, Step Functions, Airflow) and to data quality, validation, and pipeline monitoring.

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Relational databases (PostgreSQL, MySQL, Aurora) and working knowledge of NoSQL databases (DynamoDB, MongoDB, Cassandra).

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Core AWS services (EC2, S3, Lambda, RDS, ECS, API Gateway), CloudWatch/CloudTrail, IAM, and basic VPC networking; exposure to Infrastructure as Code (Terraform/CloudFormation).

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CI/CD pipelines, test automation and unit testing, and software security best practices., AI development tools (e.g., Amazon Q or similar code assistants), with the ability to validate generated code for correctness, quality, and security, and good judgment about when human review is required., Bachelor's degree in Computer Science, Information Systems, or a related discipline with at least five (5) years of related experience, or the equivalent combination of education and work experience. Requires solid experience in object-oriented development, cloud technologies, and data storage technologies (both relational and NoSQL), along with growing experience in system design, performance tuning and optimization, DevOps and CI/CD, test automation and unit testing, and software security.