Principal Product 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.

• Overall Synopsis (Skills to focus) 
• Brush up your skills in Photoshop & Illustrator
• Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
• Photoshop tools – change the color of the background, remove a selection, pen tool etc. 
• Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
• Try making some logo designs, and work on the curves & texture.

This is FULL TIME WFH NIGHT SHIFT role.

If interested kindly share your updated cv at 82008 31681

Full Stack Engineer

Location: Bangalore

Type: Full-time

Experience: 3-8 years

Our Vision

At Featurely AI, we’re pioneering human behavior simulation, with backing from leading venture capital

firms across Silicon Valley and India. Our leadership team includes veterans from Silicon Valley's most

prestigious tech companies (Nvidia, Google, Meta, Dropbox, Twilio, Amazon, Yahoo!), bringing decades

of combined experience in creating world-changing products.

Why Join Us Now

This is a rare ground-floor opportunity to help shape revolutionary AI technology with exponential

growth potential. We're not just building another app—we're developing solutions that will

fundamentally transform how products evolve.

The Role & Impact

As our Full Stack Engineer, you'll have outsized influence on our core product during this critical growth

phase. You'll collaborate directly with our leadership team to architect and implement solutions that

millions will eventually use. Your code will define the foundation of what we're building.

What You'll Do

• Drive end-to-end development of breakthrough AI-powered features

• Design elegant, scalable solutions across our entire technology stack

• Shape our engineering culture and technical decision-making

• Work at the intersection of cutting-edge AI research and production systems

• Build systems that will scale to support millions of users

What You Bring

• 3+ years of exceptional full-stack engineering experience

• Mastery of modern web frameworks and development practices

• Track record of shipping high-quality, production-ready code

• Strong problem-solving abilities and attention to detail

• Self-direction and comfort with startup ambiguity

Why People Join Us

• Elite Backing: Funded by premier venture capital firms with track records of identifying category

defining companies

• Exponential Growth: Join at the perfect moment—established enough to be stable, early

enough for significant equity upside

• Technology Leadership: Work with futuristic AI technology years ahead of the market

• Exceptional Team: Collaborate with leaders from Silicon Valley's most innovative companies• Competitive Compensation: Top-of-market salary, generous equity, and comprehensive benefits

• Work That Matters: Build technology that meaningfully improve how products evolve and adapt.

We're selective about who joins our team, but we move quickly for exceptional talent. If you're ready to

be challenged and do the best work of your career, we should talk.

Job Title: Senior Backend Developer

Location: Mali mahajan road, somwar peth, Pune.

Experience: 5-7 years

Responsibilities:

Backend Development:

• Design, develop, and maintain scalable and high-performance backend systems.

1. Utilize AWS Serverless skills (API Gateway, Lambda, DynamoDB, SQS, Event bridge, CloudWatch, permissions, accounts, multi accounts, streams

Technology Stack:

• Proficiency in JavaScript, Node.js, and Typescript for backend development.
• Leverage AWS services to build serverless applications with a focus on efficiency, security, and reliability.

E-commerce Expertise:

• Bring experience in e-commerce projects, with additional consideration for knowledge of Commerce tools.

Communication Skills:

• Communicate effectively with stakeholders across the US, UK, and Australia.
• Collaborate with cross-functional teams to understand requirements and provide technical insights.

Project Collaboration:

• Work closely with front-end developers, QA engineers, and other team members to deliver end-to-end solutions.

Requirements:

1. Bachelor’s degree in Computer Science or a related field.
2. 5-7 years of backend development experience.
3. Strong proficiency in AWS Serverless technologies.
4. Expertise in JavaScript, Node.js, and Typescript.
5. Experience with e-commerce projects, particularly Commercetools, is an advantage.
6. Excellent communication skills to engage with international stakeholders.

• With the support of product managers and engineers, collect and analyze user demands. 

• To show design concepts, use storyboards, process flows, and sitemaps. 

• Menus, tabs, and widgets are examples of visual user interface components.

• Make page navigation buttons and search fields. 

• Make UI mockups and prototypes that demonstrate how websites function and look. 

• Create original graphic designs (e.g. images, sketches, and tables) 

• Internal teams and significant stakeholders should be given rough draughts to review. 

• Identify and fix user experience issues (e.g. responsiveness) 

• Make layout adjustments based on user input. Follow the requirements for typeface, color, and image style.

• High-performance reusable components and future-proof front-end frameworks.

• Create new user-facing features as well as reusable code. 

• Write efficient, performant code to achieve optimal web application performance and scalability. 

• Identify design flaws and provide attractive remedies.

• Assuring software compatibility and responsiveness across a range of screen resolutions. 

• To reach your objectives, collaborate with product managers and designers. 

Title: Business Analyst

Reporting to : Project Manager

Work Location: Coimbatore, TN

Summary: 

As a Business Analyst, he/she will be working as a member of product development team who analyzes the business domain, documents its processes and systems, outlines business requirements, and matches a software business model with the software being built. You will be bridging the gap between stakeholders and the development team, interpreting business requirements into understandable development tasks to match a final software product with the expected business value.

Responsibilities:

1.Researching business problems and clarifying business ideas

2.Deciding on the expected business value

3.Drafting non-functional requirements

4.Preparing functional requirements

5.Formulating the main backlog

6.Handling Deliverables

7.Handling Elaboration phase

8.Involved in Story mapping, establishing acceptance criteria, prioritizing backlog items during solution design phase

9.In development phase, will be involved in setting up preparation activities, planning and tracking the development process and activities

10.Gathering and processing feedback from customer and users, formulating the next backlog during maintenance phase

11.Validating requirements and standardizing the software development process

Qualification:

1.Any UG or PG degree preferably a technical degree

2.Minimum 4 (four) years of relevant work experience as a Business Analyst in a software development environment

3.Should be an analytical thinker, strong decision-maker, problem-solver, documentation and visualization master

4.Should possess expert knowledge and experience in Project management tools, documentation tools and modeling tools