Japanese Language Expert

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.

6+ years of total software development experience with minimum 3+ years in Flutter

Product-based company experience is mandatory (B2C scale preferred)

Proven ability to own end-to-end Flutter mobile architecture for high-scale apps

Strong expertise in Dart, Flutter SDK internals, and advanced state management (Bloc / Riverpod / Provider)

Hands-on experience with platform channels and native integrations (Android & iOS)

Deep knowledge of performance optimization: app startup time, FPS, memory leaks, widget rebuilds, rendering pipeline

Experience with profiling tools (Dart DevTools, Android Profiler, Xcode Instruments)

Strong skills in offline-first architecture, caching layers, and API integrations

Ability to optimize video playback, downloads, DRM, and OTT workflows

Strong command of clean code, SOLID principles, and scalable mobile system design

Experience reviewing code and mentoring engineers (Senior IC role

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

Company Profile :

EaseMyTrip embarked on its journey in 2008, initially focusing on the B2B2C (business to business to customer) distribution channel, offering travel agents access to its website to facilitate the booking of

domestic airline tickets, thus catering to India's offline travel market. Subsequently, leveraging its stronghold in the B2B2C channel, the company expanded its operations into the B2C (business-to-customer) distribution channel in 2011, primarily targeting the growing travel requirements of the Indian middle-class population.

About the role

We are seeking a highly motivated and proactive candidates to join our team. You will gain handson experience in various aspects such as corporate structure, knowledge of business strategies, market

research, meetings with team members. This position offers a unique opportunity to work closely with the high qualified team.

Roles & Responsibilities:

• Deals with the corporate clients via calls , texts and mails for the growth of our business.

• Collaborate with team members to contribute for ongoing projects

• Attend meetings and give necessary suggestions for upcoming projects.

• Assist in the preparation of reports, presentations and other necessary needs.

• Stay updated with the market standards and research for the growth aspects.

• Take initiative and work closely with the team for future growth.

Requirements:

• Ability to work in a dynamic team environment

• Should have knowledge of corporate strategy

• Bachelor’s degree in Business , marketing is preferred

• Excellent communication skills both verbal and written

• Must have good listening skills

• Must have knowledge of MS Office

• Comfortable in meeting with clients

We are seeking a talented and experienced ServiceNow Developer to join our dynamic team. The ideal candidate will have a strong background in developing and customizing ServiceNow applications, with a deep understanding of the platform's modules and capabilities. This role offers an exciting opportunity to work on diverse projects and collaborate with leading industry professionals.

Key Responsibilities:

• Develop and customize ServiceNow applications and modules based on business requirements.
• Create and manage ServiceNow business rules, script includes, UI actions, and other scripting elements.
• Design and implement ServiceNow integrations using REST and SOAP web services.
• Configure and customize ServiceNow forms, lists, reports, and dashboards.
• Utilize ServiceNow Flow Designer and Orchestration to automate workflows.
• Collaborate with cross-functional teams to gather requirements and deliver effective solutions.
• Troubleshoot and resolve technical issues related to ServiceNow.
• Maintain system documentation and user guides.

Requirements:

• Proficiency in ServiceNow modules, including ITSM, ITOM, ITBM, and ITAM.
• Strong knowledge of JavaScript for client-side and server-side scripting.
• Experience with ServiceNow Studio, Flow Designer, and IntegrationHub.
• Familiarity with REST and SOAP web services for system integrations.
• Understanding of relational databases and SQL.
• ServiceNow Certified System Administrator and/or ServiceNow Certified Application Developer (preferred).
• Previous experience in a ServiceNow Developer role with a track record of successful projects.
• Strong problem-solving skills and the ability to communicate technical concepts to non-technical stakeholders.
• Experience with Agile methodologies and project management principles.

Preferred Qualifications:

• Experience with other ITSM tools and platforms.
• Additional ServiceNow certifications (e.g., Certified Implementation Specialist) are a plus.
• A degree in Computer Science, Information Technology, or a related field.

Head - Finance & Legal - Y Combinator backed Shopify-like platform

About Merito :-

Key Responsibilities:

• Design and develop training materials for MERN Stack web application development.
• Deliver training sessions to individuals or groups in a classroom or online setting.
• Provide hands-on training on MongoDB, Express JS, React JS, and Node JS.
• Teach how to use No SQL Database, REST API, and how to connect REST API with front-end applications.
• Conduct assessments to evaluate trainees' understanding and progress.
• Provide feedback and support to trainees throughout the training process.
• Keep up-to-date with the latest trends and technologies in MERN Stack web application development.
• Collaborate with the project team to develop real-world scenarios and case studies for trainees.

Requirements:

• Minimum of 2 years of experience in MERN Stack web application development.
• Strong expertise in MongoDB, Express JS, React JS, and Node JS.
• Familiarity with asynchronous JS, No SQL Database, and REST API.
• Excellent communication and interpersonal skills.

Role: Project Manager

Experience: 8-10 Years

Location: Mumbai

Company Profile:



Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are rapidly expanding across machine learning, Data Engineering and Analytics functions. Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.

One of the top partners of Data bricks, Azure, Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik and "Excellence in Business Process Automation Award" (IMEA) by Automation Anywhere.

Get to know more about us at http://www.exponentia.ai and https://in.linkedin.com/company/exponentiaai 

Role Overview:

·        Project manager shall be responsible to oversee and take responsibility for the successful delivery of a range of projects in Business Intelligence, Data warehousing, and Analytics/AI-ML.

·        Project manager is expected to manage the project and lead the teams of BI engineers, data engineers, data scientists and application developers.

Job Responsibilities:

·        Efforts estimation, creating a project plan, planning milestones, activities and tracking the progress.

·        Identify risks and issues. Come up with a mitigation plan.

·        Status reporting to both internal and external stakeholders.

·        Communicate with all stakeholders.

·        Manage end-to-end project lifecycle - requirements gathering, design, development, testing and go-live.

·        Manage end-to-end BI or data warehouse projects.

·        Must have experience in running Agile-based project development.

Technical skills

·        Experience in Business Intelligence Data warehousing or Analytics projects.

·        Understand data lake and data warehouse solutions including ETL pipelines.

·        Good to have - Knowledge of Azure blob storage, azure data factory and Synapse analytics.

·        Good to have - Knowledge of Qlik Sense or Power BI

·        Good to have - Certified in PMP/Prince 2 / Agile Project management.

·        Excellent written and verbal communication skills.

 Education:

MBA, B.E. or B. Tech. or MCA degree

As a Software Engineer, you will participate in all aspects of software development (design, development, testing, maintenance, support) of the business’s applications. This is a hands-on development role responsible for design, implementation, and life cycle management of the product built/configured on the Huron platform.

You will also have the opportunity to work with one or more development teams that are responsible for web applications, able contribute to the design, implementation, and maintenance of applications and technologies owned by the assigned team, be delivering quality client and server-side code, markup, and CSS as needed, while adhering to best practices and standard. In addition, you’d be expected to attend all team meetings while making meaningful contributions and provide regular updates (via tools, meetings, communication, etc.) to the team lead of assigned teams.

You’ll be part of the Huron Higher Education team with opportunities to collaborate, learn and grow while impacting some of the most prestigious higher education and research institutions.

Let’s get to work – together.

• Apply Software Engineering competencies to design and develop software products.
• Solve complex technical problems with help from Lead Engineers
• Interact with key stakeholders from Product Management, Implementation and Support teams
• Develop in-depth knowledge of business processes facilitated by our software products.
• Create and execute a complete set of unit test cases.
• Interact and pair program with other Software engineers on the team to build high quality products.
• Troubleshoot deployment and resolve environmental issues in a timely manner across multiple projects.
• Work closely with the offshore development team to ensure quality standards are being met
• Be part of the scrum for dev team
• Support and update existing internal applications and services.
• Improve and implement modular, well-documented, responsive, and accessible JavaScript frontend components
• Authoring developer documentation and release notes
  
  
  

• Four-year technical degree in Computer Science, Information Technology or Information Systems or equivalent professional experience
• 3 + years of relevant experience
• Strong computer science skills and experience
• Highly proficient in .NetCore and Visual Studio
• Familiar with NextJS/React/TypeScript for front end development
• Unit testing experience with NUnit or other testing frameworks
• Familiarity in AWS Cloud Services like CloudFront, Cognito, Lambda, SNS, SES, Elastic Search, Event Bridge, S3, etc
• Familiarity with developing and using Rest API
• Familiarity with version control systems such as GIT required.
• Experience working with Postgres Aurora, DynamoDB, Elastic Cluster a plus
• Familiar in Linux
• Familiar with npm packages
• Authoring developer documentation and release notes
• Familiarity with agile development methodologies
• Ability to work independently or in a group with minimal supervision.
• Strong analytical thinking and problem-solving skills and demonstrated ability and experience in design for generality and abstraction.
• Experience is preferred in the following:
  • REST and developing RESTful APIs using the OpenAPI standard.
  • HTML 5, CSS, JavaScript, React
  • Aurora Postgress, DynamoDB
  • Developing microservices in Azure or AWS
  • Azure DevOps
  • .NET Core