Graphic 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.

Looking for candidates who are Solution Architects in Finance from Product Companies with 7-10 years of experience ONLY.

● The candidate should have worked in Fintech for at least 4–5 years.

● Candidate should have Strong Technical and Architecture skills with Finance Exposure.

● Candidate should be from Product companies.

● Candidate should have 8+ years’ experience in solution architecture, preferably in fintech or enterprise software.

● Candidate should have Proficiency in Python, Java (or similar languages) and hands-on with cloud platforms (AWS/Azure/GCP) & containerization (Docker/Kubernetes).

● Candidate should have Deep knowledge of finance & accounting principles (Ind AS/IFRS/GAAP) and financial system integrations (ERP, GL, AP/AR).

● Candidate should have Expertise in system integration, API design, microservices, and C4 modeling.

● Candidate should have Experience in financial reconciliations, automation strategies, and regulatory compliance.

● Candidate should be Strong in problem-solving, cross-functional collaboration, project management, documentation, and communication.

● Candidate should have Proven experience in mentoring technical teams and driving excellence.

Mandatory (Experience 1): Must have 5+ years of hands-on designing experience especially in print and visual communication projects.

Mandatory (Experience 2): Must have proven conceptualisation and visualization skills, with the ability to convert briefs, raw data, and ideas into engaging visual creatives while maintaining brand messaging and design consistency.

Mandatory (Experience 3): Must have client interaction and team management experience, including coordinating with designers, art directors, project managers, and clients to ensure timely and high-quality creative deliverables.

Mandatory (Tech Skills 1): Must have strong knowledge of design principles, typography, color theory, layout design, and print production standards, with the ability to sign-off or review final deliverables.

Mandatory (Tech Skills 2): Must have hands-on experience in handling multiple creative tools and design workflows independently

Mandatory (Portfolio): Strong portfolio of Print Media / Creative Portfolio showcasing branding, marketing collaterals, brochures, presentations, or other high-quality visual design projects that demonstrate conceptual thinking and software proficiency.

Mandatory (Work Environment): Must be willing to work full-time from office and be flexible for rotational monthly shifts (including night shifts) as per business requirements.

Duties and responsibilities

● Improve organic search results for desktop and mobile sites on all major search engines

● Provide SEO analysis and recommendations in coordination with elements and structure

of websites and web

● Provide recommendations and execute strategies for content development in

coordination with SEO goals – general and keyword specific

● Administer search engine programs (XML sitemaps, Google Analytics, webmaster tools)

for purposes of diagnostic reporting on client projects

● Promote both off-page and on-page activities and also the interactions that build ranking,

profile and traffic

● Analyse and understand web analytics dashboards and draw inferences which helps to

attain the business goals

● Monitor and evaluate search results and search performance across the major search

channels, need to have good knowledge in current search trends

● Communication to team and management on project development, timelines, and results

● Work closely with the other team members to meet client goals

Experiences (1 - 3 years)

● Proficiency in Google sheet, MS Excel, PowerPoint, and Word

● Experience with website analysis using a variety of analytics tools including Google

Analytics as well as internal reporting tool

● Experience working with popular keyword tools for SEO

● Any Graduate with relevant experience.

● Basic knowledge in HTML Coding will be an added advantage

Skills and Expertise

● Basic SEM knowledge

● Basic HTML Coding

● Good Analytical Mind and Skills

● Keywords Strategy

● Tracking and Analysing

● Creating Reports (Google Sheet/ Microsoft 360)

● Good communication skills

Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)

Location: Pune – Onsite

About Us:

We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!

Role Overview:

We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.

Key Responsibilities:

• Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
• Collaborate with data scientists and engineers to build scalable AI-driven solutions.
• Analyze large volumes of data to extract meaningful insights and improve ad performance.
• Develop and deploy machine learning pipelines for automated decision-making.
• Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
• Optimize existing models for speed, scalability, and accuracy.
• Work closely with product managers to align AI solutions with business goals.

Requirements:

• Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
• Strong programming skills in Python, R, or similar languages.
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Expertise in data processing and real-time analytics.
• Strong understanding of digital advertising, programmatic platforms, and ad server technology.
• Excellent problem-solving and analytical skills.
• Immediate joiners preferred.

Preferred Skills:

• Knowledge of big data technologies like Spark, Hadoop, or Kafka.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with MLOps practices and tools.

How to Apply:

If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.

Join us in building the future of AI-driven digital advertising!

Looking for Quality Engineer role for one of our clients for Gurugram Location.

Location: Gurugram

Budget: 10 LPA

Notice: Immediate - 20 Days (Max)

Honors bachelor’s degree in engineering or science fields or equivalency.

Mandatory Skills:

Hands-on experience of PFMEA & Control Plan.

Hands on experience of PPAP, MSA, SPC documentation creation, review and Approval from suppliers.

Hands-on experience of Validation activity – IQ, OQ & PQ

Basic knowledge with GMP, ISO 13485, 21 CFR Part 820 standards

Willing to travel in support of business needs to different geographical locations.

Excellent Communication Skills.

• 1-9 years of overall working experience in the software environment.
• Minimum 3 years of experience in Agile Software Development.
• NET technologies - .NET 5, .NET Core, C#, Web API, Angular, Typescript, Azure and MS SQL.
• Coding and designing skills.
• Knowledge of database, SQL Queries, procedures & functions is must.
• Good knowledge of cloud concepts and CI/CD.
• Ability to assimilate technical and functional solutions.
• Ability to do code review and deliver quality.
• Knowledge of unit testing with mock.
• Cloud experience.
• Experience using TFS/GIT source control.
• Containerization (Docker) plus orchestration (Kubernetes or OpenShift) are good to have.
• Good written and spoken English.
• Excellent service & industry leading solutions development.

Responsibilities:

• Understand the requirement and purpose of implementation.
• Implement modules with individual products and come up with impact and own ideas and solutions.
• Troubleshooting issues across environments.
• Responsible for monitoring, highlighting and troubleshooting issues across environments.
• Responsible for design and develop the components as per the requirement.
• Technical documentation, design and development using tools and technologies like HTML5, JAVA and Angular JS etc.
• Complete the build of code on time and as per application coding standards, and perform unit testing.

Requirements:

• Strong Expertise and experience in HTML5, charting libraries, JavaScript, jQuery, Angular(2+) or ReactJS

• Strong hands-on experience in Web services (REST)
• Proficient knowledge in D3.JS
• Good understanding of user interactions
• At least involved in one live project on D3.JS
• Handson on Visualisations

• Knowledge in Nodejs
• Knowledge in React JS / Angular 2+
• Good understanding of cloud computing platforms and its services
• Experience in UI, UX, data visualisations, usability, design aspects and user stories