UX DESIGNER

Data Engineer — AI / BI

Artificial Intelligence & Business Intelligence | Data & Analytics

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

Position Overview

We are seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.

You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation

Responsibilities:

Data & AI Platform Engineering (Databricks-Centric):

• Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.
• Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.
• Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.
• Apply schema evolution and data versioning to support agile data development.

Platform Integration & Data Ingestion:

• Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.
• Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.
• Design standardized data ingestion processes with automated error handling, retries, and alerting.

 Data Quality, Monitoring, and Governance:

• Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.
• Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.
• Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.

Security, Privacy, and Compliance:

• Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.
• Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).
• Work with security teams to audit and certify compliance controls.

   AI/ML-Ready Data Foundation:

• Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.
• Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.
• Collaborate with AI/ML teams to create reusable feature stores and training pipelines.

Cloud Data Architecture and Storage:

• Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.
• Build data marts and warehousing solutions using platforms like Databricks.
• Optimize data storage and access patterns for performance and cost-efficiency.

 Documentation & Enablement:

• Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.
• Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.
• Conduct code reviews and promote reusable patterns and frameworks across teams.

  Reporting and Accountability:

• Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.
• Track deliverables against roadmap milestones and communicate risks or dependencies.

Required Qualifications:

• Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.
• Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.
• Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.
• Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
• Familiarity with data governance, lineage tracking, and metadata management tools.

Preferred Qualifications:

• Prior UMGC or USM experience preferred.
• Experience with Databricks Unity Catalog for metadata management and access control.
• Experience deploying ML models at scale using MLFlow or similar MLOps tools.
• Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.
• Knowledge of data warehouse design and star/snowflake schema modeling.

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

Role Overview:

We’re looking for an experienced SDET / Automation Tester to set up and manage automation for a web-based POS system built on Microsoft Dynamics 365 Finance and Operations. 

Key Responsibilities:

• Develop and maintain automation for Dynamics 365 F&O using RSAT (Regression Suite Automation Tool).
• Work with functional and dev teams to identify and automate key test scenarios.
• Execute, monitor, and analyze automated test runs.
• Contribute to improving testing processes and quality standards.

Required Skills:

• Hands-on experience in test automation or SDET roles.
• Familiarity with Microsoft Dynamics 365 F&O or ERP systems.
• Experience or willingness to work on RSAT.
• Strong analytical and problem-solving skills.

About Moolya

Moolya is a trusted software testing partner to several industry leaders and cutting-edge startup companies in India and abroad. We have actively invested in the startup ecosystem to nurture the quality of their products, by learning and translating the experience that we have gained from working with startups that went on to become billion-dollar behemoths themselves. Our enterprise customers love the "startup way of testing" that we bring to their enterprise IT teams - it makes them more agile, innovative, result-focused, and cost-conscious. Our customers are spread across India, USA, UK, UAE, Australia, and Indonesia. 

We love complex testing challenges across technologies viz. web, cloud, mobile, wearables, Internet of Things, Bots, AI, Enterprise Apps, Packaged Software, and Platform Implementations. Our expertise spans consumer-centric industries such as eCommerce, Payments & Wallets, Banking, Retail, Media, Healthcare, and Lifestyle. 

For more information about Moolya, visit us at https://moolya.com

Are you passionate about coding, problem-solving, and building high-performing SAP solutions?

We’re looking for a skilled SAP ABAP Developer to join our dynamic team!

📍 Location: [Hybrid – Coimbtore and Gurgaon]

🕒 Employment Type: [Full-time]

💰 Experience Level: [Minimum 4 years for Gurgaon location & 8 years for Coimbtore location ]

1. Proven experience in SAP ABAP development (ECC / S/4HANA).
2. Strong knowledge of Reports, ALV, BAPIs, BADIs, Enhancements, Smart Forms, IDOCs, and OData services.
3. Hands-on experience with SAP Fiori / CDS Views / Workflow (nice to have).
4. Excellent analytical and communication skills.
5. Experience in building and exposing RAP APIs.

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

We are looking for a wordpress champion who has good understanding of developing themes and plugins.

Job Title: Performance Engineer

Experience: 6+ years

Primary Skill: Jmeter, Neoload

Location: Hyderabad

Fulfilment Type: Fulltime

• Identify future performance needs and architectural changes based on platform scale;
• Bring your passion to contribute to an exceptional customer experience regarding the performance and scalability of our platform;
• Develop a framework to run PSR tests and measure stats for them;
• Continuously tune Infrastructure and platform performance;
• Provide capacity planning for platform services and influence product architecture for higher resiliency and lower cost of ownership;
• Operate internal testing infrastructure and raise potential defects to development teams;
• Establish best practices and standards for performant platform development;
• Create and maintain reports that describe performance issues and possible root causes;
• Work with various development teams to ensure SLA of their core APIs are tracked and maintained release over release;
• Collaborate with developers, architects, Product Management, Operations and other cross functional teams to successfully achieve teams’ objectives;
• Build and enhance infrastructure and framework and provide actionable metrics to help understand performance issues and address them proactively;
• Evaluate system performance and recommend improvements;
• Provide technical assistance to improve system performance, capacity, reliability and scalability;
• Perform load tests to validate system and solution performance and stability.

Profile: Java developer (2-4 years) - Noida

MUST Have: Core Java, data structure

NP: Immediate to 30 Days

Salary : Upto 9 LPA

MUST Haves: Java 1.8, Core Java, Data structure

Requirements:

• Java 1.8 version with Collections, Multithreading working knowledge –(Mandatory)
• Data Structures, BPM-Alfresco & Groovy 

• Proficient with Objective-C,Swift,Cocoa Touch and UIKit.  
• Experience with iOS frameworks such as Core Data, Core Animation, etc. 
• Knowledge of Apple’s design principles,interface guidelines and UI/UX standards 
• Experience with performance and memory tuning with tools such as Instruments. 

• Familiarity with cloud message APIs and push notifications 
• Proficient understanding of code versioning tools such as Git and SVN 
• Experience in Payment Integration, Push Notification & Third Party Integration.  
• Experienced with Apple Approval developed and Distribution Process, AdHoc Enterprise distribution. 
• Worked on various architecture such as MVC, MVVM, Singleton, Delegate and Notification patterns. 

• Good to knowledge /experience in developing GUI for C5 voip applications. 
• Good to knowledge / on webrtc, various voip standards. 

Specific responsibilities commensurate with experience and include:

• Ability to react quickly and effectively to identify and resolve issues that heavily impact CI/CD system (immediate mitigation of impact, long-term resolution including strategies for risk mitigation/monitoring/alert for proactive resolution of potential future occurrences)
• Design, develop, unit test, and implement build automation scripts including environment configuration validation processes
• Automate and improve development process by evaluation and introduction of new tools and scripts, and manage their life cycle and validation
• Determine branching strategy and maintain branches for various components, products, and product lines
• Come up with solutions to open-ended problems that focus on workflow improvements for the Software department
• Address issues with well-defined requirements efficiently; come up with short-term and long-term solutions and staged deployment strategies
• Self-driven-- takes action to move tickets from start to completion with minimal oversight
• Ability to communicate with and consider perspectives of stakeholders including but not limited to: IT, software development, verification
• Ability to break down a problem into smaller components and solve them in a logical, controlled, clearly explainable approach
• Lead the creation and maintenance of a pre-production environment as a testbed for build process improvements and changes before deployment to the production environment
• Gather metrics via direct input, data based on analysis of developer working habits analysis and pain points to assess current state and areas requiring further improvement
• Define chain of communication and immediate paths of action in the case of a build fault state
• Ability to work within constraints of the internal network without access to commercial cloud solutions
• Create metrics that define ‘efficiency’ and ‘reliability’ in measurable terms, and track them
• Perform static code and security analysis
• Design and execute unit tests and perform code coverage analysis
• Able to work in Agile development team environment

• Bachelor’s degree (or higher) in Electrical Engineering, Computer Engineering, Computer Science or equivalent
• 6+ years (minimum) experience handling Build, Release, and Deployment of software on Windows and/or Linux environments (on-premise)
• Experience with the development and deployment of CM processes and tools
• Build automation for .NET using TeamCity (Jenkins is an asset)
• Scripting languages: Windows batch scripting, Powershell, Ant/NAnt
• Source control systems usage, branching strategies, and workflow (Git preferred, Subversion)
• 6+ years of hands-on programming experience with C# and .NET (both Framework and Core)
• Troubleshooting and debugging-- what information to gather when there are issues with CI/CD system, and how to gather it (i.e., analyzing network communication? Windows crash dumps, java logs, etc.)
• 6+ years (minimum) in web/desktop application software development experience
• Excellent problem solving, critical and analytical thinking
• Strong team player who understands SDLC and QA methodologies
• A professional, results-oriented individual with a high degree of self-motivation
• Excellent written and verbal communication skills and the ability to coordinate work/activities with multiple software/IT teams
• Working with virtual machines and build management on virtual machines (VMware preferred).
• Managing configurations for multiple build environments
• OS administration and scripting experience (Windows is a must, Linux desired)
• Experience with test automation tools (NUnit, customer inhouse frameworks) and strategies is an asset
• Creation and maintenance of monitoring and alert systems (Zabbix)
• Familiarity with databases (SQL-based) - create, modify, optimize (via script)
• Data and metrics gathering, aggregation, and reporting
• Experience with work management and documentation tools: JIRA and Confluence