Sales Executive Intern – Enterprise AI Software Pre-Sales

Key Requirements:

• Strong programming skills in Python and MATLAB
• Ability to develop, test, and optimize research-based models and algorithms
• Good understanding of data analysis, simulations, and problem-solving techniques
• Familiarity with technical documentation and research workflows

Preferred (Plus Point):

Prior experience working in a research environment or academic projects

Education:

Bachelor’s degree in Computer Science, Engineering (BE), or a related field.

Experience:

Minimum 2+ years of hands-on experience in Python and MATLAB.

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.

Requirements:

• Bachelor's degree in engineering with a specialization in computer science or a related field.
• 5+ years of experience as a software engineer in a product development setting.
• Love of technology and experience with one or more programming languages: Java and Python.
• Experience in full-stack development, including designing APIs and integration patterns, implementing security, and implementing frameworks for unit and end-to-end testing.
• Experience with microservices architecture.
• Experience in one or more frameworks like FastAPI, Spring, GRPC, Flask, etc.
• Extensive experience in a test-driven development environment.
• Understanding of CI/CD practices, including code check-in policies, automated unit tests, automated code deployments, etc.
• Ability to grasp new technologies and use them effectively to create industrial-strength software.

Preferred Qualifications:

• Good communication skills. You can communicate well in the English language with product managers, your team members, and external stakeholders to understand their needs and convey yours in a clear, precise mannerverbally or in writing.
• Strong collaboration skills. You have demonstrated the ability to work with both senior and junior technical professionals and get work done. You quickly earn the trust of the people you work with. People enjoy and have fun working with you.
• Deadline oriented. You understand that deadlines are meant to be met. Challenges will surface, and obstacles and roadblocks will cause delays, but you plan for them in advance and still ship your features on time to meet your commitments.
• Bias for action. Your default setting is to take action and not wait for things to happen. You love to learn about new technologies and advancements in the software industry.

Benefits at 314e Corporation:

• Medical Benefits
• Office Game space
• Referral Program
• Holiday parties

Job Overview

We are seeking an experienced SAP SD Consultant with a strong understanding of O2C processes and system skills, to join our team in a hybrid work environment.

Responsibilities

1. Configure and maintain SAP settings in Order Management, Pricing, Delivery, and Logistics.
2. Execute and oversee billing and integrated flows with MM & FICO systems.
3. Lead real-time implementations and data migration projects.
4. Interface with other ERP and non-ERP systems, handling design to implementation processes including IDOCs and RFCs.
5. Utilize S4HANA for effective solutions.

Requirements

Ideal candidates should possess relevant experience and demonstrate the ability to work independently and communicate effectively

• Expert understanding of On-page and Off-page SEO

• Perform keyword research in coordination with company’s business objectives to optimize existing content and uncover new opportunities

• Provide SEO analysis and recommendations in coordination with elements and structure of websites and web pages

• Provide recommendations and execute/manage strategies for content development in coordination with SEO goals – general and keyword specific

• Develop and implement link building campaigns

• Implement and administer search engine programs (XML sitemaps, shopping feeds, webmaster tools)

• Monitor and evaluate web analytics dashboards and reports in order to develop and recommend SEO strategies

• Track, report, and analyze website analytics and PPC initiatives and campaigns.

• Experience in Search Engine Marketing (SEM) and Paid Search (PPC).

• Perform ongoing keyword discovery, expansion and optimization.

• Research and analyze competitor advertising

Position- Automation Lead 

Location Bangalore (Wfo/Hybrid)

Experience :5+ years

Qualifications Bachelor of Engineering/ Masters in Computer Science (OR) any equivalent 

Job Overview 

• Good experience & strong knowledge in Java programming with Object Oriented Programming methodologies
• Good experience in web/mobile application UI automation & related tools/packages (like selenium/appium)
• Good exposure to functional testing, regression testing, api testing
• Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve blockers independently
• Self-driven, Accountability and ownership of problems to achieve team goals & ability to contribute independently
• Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member’s ideas
• Hands on experience with different tools - Testing tool, Version Control systems (Git), Test Management Software, Bug Tracking software and CI tools (Jenkins etc.)

CASEY GALAXY INDIA PVT LTD. – A premier organization of Eastern India is involved in various segment of consumer interest. We are hiring experienced and versatile candidates for the position of Business Development Manager to execute marketing strategy, policy and ethics in the market.

RESPONSIBILITIES: As a Business Development Manager working under the FMCG segment, an ideal candidate must perform the following responsibilities:

 Approaching potential leads and them within a stipulated time frame.

 Create exclusive distributors, exclusive business associates for the company towards business growth.

REQUIREMENTS:

 Bachelor’s degree in business, marketing or related field.

 Experience in sales, marketing or related field.

 Strong communication skills and IT fluency.

 Ability to manage complex projects and multi-task.

API Lead Developer

Job Overview:

As an API developer for a very large client, you will be filling the role of a hands-on Azure API Developer. we are looking for someone who has the necessary technical expertise to build and maintain sustainable API Solutions to support identified needs and expectations from the client.

Delivery Responsibilities

• Implement an API architecture using Azure API Management, including security, API Gateway, Analytics, and API Services
• Design reusable assets, components, standards, frameworks, and processes to support and facilitate API and integration projects
• Conduct functional, regression, and load testing on API’s
• Gather requirements and defining the strategy for application integration
• Develop using the following types of Integration protocols/principles: SOAP and Web services stack, REST APIs, RESTful, RPC/RFC
• Analyze, design, and coordinate the development of major components of the APIs including hands on implementation, testing, review, build automation, and documentation
• Work with DevOps team to package release components to deploy into higher environment

Required Qualifications

• Expert Hands-on experience in the following:
• Technologies such as Spring Boot, Microservices, API Management & Gateway, Event Streaming, Cloud-Native Patterns, Observability & Performance optimizations
• Data modelling, Master and Operational Data Stores, Data ingestion & distribution patterns, ETL / ELT technologies, Relational and Non-Relational DB's, DB Optimization patterns
• At least 5+ years of experience with Azure APIM
• At least 8+ years’ experience in Azure SaaS and PaaS
• At least 8+ years’ experience in API Management including technologies such as Mulesoft and Apigee
• At least last 5 years in consulting with the latest implementation on Azure SaaS services
• At least 5+ years in MS SQL / MySQL development including data modeling, concurrency, stored procedure development and tuning
• Excellent communication skills with a demonstrated ability to engage, influence, and encourage partners and stakeholders to drive collaboration and alignment
• High degree of organization, individual initiative, results and solution oriented, and personal accountability and resiliency
• Should be a self-starter and team player, capable of working with a team of architects, co-developers, and business analysts

Preferred Qualifications:

• Ability to work as a collaborative team, mentoring and training the junior team members
• Working knowledge on building and working on/around data integration / engineering / Orchestration
• Position requires expert knowledge across multiple platforms, integration patterns, processes, data/domain models, and architectures.
• Candidates must demonstrate an understanding of the following disciplines: enterprise architecture, business architecture, information architecture, application architecture, and integration architecture.
• Ability to focus on business solutions and understand how to achieve them according to the given timeframes and resources.
• Recognized as an expert/thought leader. Anticipates and solves highly complex problems with a broad impact on a business area.
• Experience with Agile Methodology / Scaled Agile Framework (SAFe).
• Outstanding oral and written communication skills including formal presentations for all levels of management combined with strong collaboration/influencing.

Preferred Education/Skills:

• Prefer Master’s degree
• Bachelor’s Degree in Computer Science with a minimum of 12+ years relevant experience or equivalent.