PETADATA

About the Company

PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.

PETADATA is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.

PETADATA services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.

Quality

We consistently provide the right fit, high-quality services, and products that best match our clients' needs. We are highly sensitive to clients' goals, delivering on our promises and offering superior services for the life of the project and beyond.

Honesty

We follow honest and ethical business practices.

Integrity

We do what's right and follow through on our commitments. We are accountable for our actions and services.

Teamwork

We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners.

With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
360-degree solution.

https://www.petadatasoftware.com

Listed Jobs

Company Name

PETADATA

Job Title

Business Analyst

Job Description

Job Title: Senior Business Analyst Role Summary: Experienced senior business analyst with 13+ years of expertise in finance, responsible for aligning business needs with technology solutions, leading high-impact financial system implementations, and driving process improvements. Expactations: Deliver strategic insights, facilitate stakeholder collaboration, and maintain compliance with regulatory and accounting standards across enterprise system integrations. Key Responsibilities: • Lead business requirement gathering and functional analysis for finance initiatives. • Translate business needs into detailed functional specifications and system design documents. • Conduct gap analysis and recommend process and system improvements. • Facilitate workshops, interviews, and data mapping sessions with cross-functional stakeholders. • Manage requirement prioritization, change requests, and scope documentation. • Coordinate user acceptance testing, defect resolution, and system launch activities. • Provide post-implementation support and performance monitoring. • Ensure compliance with financial regulations, accounting principles, and data governance policies. • Mentor junior analysts and contribute to process improvement frameworks. Required Skills: • Deep knowledge of financial products, regulatory frameworks, and accounting principles. • Proficiency in requirements elicitation, business process modeling, and functional specification creation. • Strong analytical and data modeling capabilities. • Experience with enterprise system integrations (e.g., ERP, financial platforms). • Excellent stakeholder management, communication, and presentation skills. • Project management fundamentals and change management experience. • Ability to work independently in a C2C contract environment. Required Education & Certifications: • Bachelor’s degree in Finance, Accounting, Business, or related field (Master’s/MBA preferred). • Professional certifications such as CBAP, PMI-PBA, or equivalent are highly desirable.

Reston, United states

On site

Senior

10-03-2026

Company Name

PETADATA

Job Title

AI Developer

Job Description

Job Title: AI Developer Role Summary: Designs, trains, fine‑tunes, and deploys machine‑learning and deep‑learning models; integrates AI services into applications; builds and maintains MLOps pipelines across cloud platforms while ensuring responsible AI practices and model governance. Expectations: - 13+ years in AI/ML engineering with end‑to‑end model lifecycle experience. - Proven ability to deliver production‑grade models on AWS, Azure, or GCP. - Advanced Python development and familiarity with Java/Scala. - Strong proficiency in TensorFlow, PyTorch, scikit‑learn, docker, Kubernetes, CI/CD, and MLOps tools. - Excellent problem‑solving, analytical, and communication skills; ability to mentor junior talent. Key Responsibilities: - Develop supervised, unsupervised, and reinforcement learning models; select algorithms and tune hyper‑parameters. - Engineer data pipelines: collection, cleaning, labeling, feature engineering, and scaling with Pandas, NumPy, Spark. - Evaluate models using accuracy, precision, recall, F1, AUC, and conduct A/B testing. - Build AI APIs and microservices; implement recommendation systems, chatbots, computer vision, and NLP solutions. - Deploy models via Docker, Kubernetes, and cloud AI services (SageMaker, Vertex AI, Azure ML); set up CI/CD pipelines and monitor for drift. - Ensure bias mitigation, explainability, data privacy, and compliance with GDPR, HIPAA, etc. - Document model artifacts, data sources, and communicate results to technical and non‑technical stakeholders. Required Skills: - Python (advanced), TensorFlow, PyTorch, scikit‑learn; Java/Scala optional. - MLOps: Docker, Kubernetes, CI/CD, MLflow, Kubeflow, Airflow. - Cloud AI: AWS, Azure, GCP services. - Data engineering: SQL, NoSQL, Pandas, Spark. - ML fundamentals: algorithms, statistics, evaluation, feature engineering. - Strong analytical, problem‑solving, and collaboration skills. Required Education & Certifications: - Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field. - Certifications such as AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or equivalent are preferred.

Albany, United states

On site

Senior

10-03-2026

Company Name

PETADATA

Job Title

AWS Data Engineer

Job Description

Job Title: AWS Data Engineer Role Summary: Designing, building, and maintaining scalable data pipelines and data architecture on cloud platforms, primarily AWS, to support analytics, ML, and BI workloads. Expectations: - Execute end‑to‑end data engineering solutions, from ingestion to transformation to storage, ensuring performance, reliability, and compliance. - Lead modernization initiatives, establish best practices, and mentor peers. Key Responsibilities: - Develop batch and real‑time pipelines using Spark, Flink, Kafka, and Hadoop. - Build and manage data lakes/ warehouses/lakehouses (S3, Redshift, Athena, EMR). - Create and maintain schemas, data models, metadata, and enforce governance, lineage, and security. - Integrate heterogeneous data sources (databases, APIs, streaming services). - Optimize storage, indexing, partitioning, and query performance across SQL/NoSQL systems. - Implement data quality, validation, monitoring, and alerting. - Automate workflows with Airflow, Prefect, or Luigi; schedule, monitor, and troubleshoot jobs. - Collaborate with data scientists, analysts, and business stakeholders to translate requirements into data solutions. - Monitor pipeline health, troubleshoot bottlenecks, and optimize cost vs performance. - Define data engineering standards, roadmap, and drive platform direction. Required Skills: - Proficient in Python, SQL; experience with Scala/Java optional. - Hands‑on with Spark, Kafka, Hadoop; knowledge of Flink acceptable. - Deep expertise in AWS services: S3, Glue, Redshift, EMR, Athena; familiarity with Azure Data Factory/Synapse or GCP BigQuery/Dataflow is a plus. - Strong database skills: PostgreSQL, MySQL, MongoDB, Cassandra, and NoSQL tuning. - Workflow orchestration proficiency: Airflow, Prefect, Luigi. - Solid understanding of data modeling, warehousing, lakehouse concepts. - Knowledge of data quality, governance, security (GDPR, HIPAA). - Excellent analytical, problem‑solving, and communication abilities. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. - No mandatory certifications, but familiarity with AWS certifications (e.g., Solutions Architect, Data Analytics) is advantageous.

Albany, United states

On site

Senior

16-03-2026

Company Name

PETADATA

Job Title

AWS Java Full Stack Developer

Job Description

**Job Title**: AWS Java Full Stack Developer **Role Summary**: Develop and maintain scalable microservices-based applications on AWS using Java (8+), Spring Boot, and REST/GraphQL APIs. Leverage NoSQL (MongoDB), Docker, Kubernetes, and ORM frameworks to deliver high-performance, cloud‑native solutions. **Expectations**: - 8–14 years of senior developer experience in the Java ecosystem. - Proven ability to design, implement, and deploy production‑grade services on AWS. - Strong problem‑solving skills with meticulous attention to detail. - Familiarity with heavy data handling and scalable architecture. **Key Responsibilities**: 1. Design, develop, and deploy Java/Spring Boot microservices and REST/GraphQL endpoints. 2. Implement data persistence using MongoDB; map relational concepts via JPA/Hibernate. 3. Containerize services with Docker; orchestrate deployments using Kubernetes. 4. Utilize AWS services (e.g., Lambda, ECS/EKS, S3, etc.) to build cloud‑native solutions. 5. Collaborate with cross‑functional teams to gather requirements, set priorities, and meet project milestones. 6. Apply solid software design patterns, SOLID principles, and coding best practices. 7. Conduct code reviews, unit and integration testing, and performance optimization. 8. Troubleshoot, debug, and resolve production issues, ensuring high availability. **Required Skills**: - Java 8+, Spring / Spring Boot, and microservices architecture. - RESTful services and GraphQL development. - AWS service expertise (compute, storage, networking). - NoSQL (MongoDB) experience; familiarity with JPA/Hibernate ORM. - Proficiency in Docker and Kubernetes. - Knowledge of software design patterns, SOLID, and design principles. - Excellent analytical, debugging, and communication skills. **Required Education & Certifications**: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - AWS Certified Developer – Associate or equivalent certifications are advantageous.

Mclean, United states

On site

Senior

17-03-2026