Executive Assistant

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.

Byteridge is currently hiring for Manual Test Engineers with experience in the ERP domain and strong hands-on skills in API testing using Postman.

Role: QA Engineer (Manual Testing)

Domain: ERP

Requirement: Must have experience with Postman for API testing

Location/Mode: Remote

About the company:

Byteridge is a digital product design and development company that builds tailored web and mobile app solutions for global clients. Recognized as a Great Place to Work for 2025-26, Byteridge is where talented professionals work on exciting, impactful products in a collaborative and growth-driven environment.

HHYS Inframart is a multi-division building materials showroom dealing in Electrical & Fancy Items, Paints, Hardware, Interiors, Steel & Cement, Metals & Fabrication, Tiles, and Bath Fittings. We are currently hiring Sales Advisors specifically for our Bath and Tiles Division to strengthen customer experience and boost sales in this category.

Key Responsibilities:

• Welcome customers and understand their bath & tile requirements
• Suggest suitable options based on design preferences, budget, and functionality
• Explain features, durability, styles, and brands of tiles and sanitaryware
• Provide support in preparing quotations and assisting in final order confirmation
• Coordinate with warehouse/supply team for product availability and delivery timelines
• Maintain attractive product displays and samples in the bath & tile section
• Follow up on inquiries, quotations, and pending orders
• Keep updated with new arrivals, offers, and product specifications
• Build strong relationships with walk-in customers, interior designers, and contractors

🧠 Skills & Qualifications:

• 1–3 years of experience in showroom sales, preferably in bath fittings or tile retail
• Strong product knowledge in sanitary ware, faucets, tiles, or interior finishes is an advantage
• Excellent communication and customer handling skills
• Basic billing/invoicing knowledge preferred
• Fluent in local language; Malayalam
• Minimum qualification: 12th pass (Graduation preferred)

Avegen is a digital healthcare company empowering individuals to take control of their health and supporting healthcare professionals in delivering life-changing care.

Avegen's health management platform is being used by healthcare providers in the U.K. and India to take care delivery beyond the four walls of the hospital/clinic, ensuring that patients have access to personalized care. The platform enables better patient management leading to improved outcomes.

Responsibilities, Skills:

• Own
• Take the deliverable through lifecycle (Spec review, Test design, Test execution and defect reporting, Segregation tests in smoke, sanity, regression, Customer Issue reproduction, test case addition/update, automation to build regression suite for Customer reported issues
• Help with issue reproduction and debugging
• Keeping required documentation up to date for compliance for every deliverable

• Perform under guidance
• Review requirements, specifications and technical design documents to provide timely and meaningful feedback
• Create detailed, comprehensive and well-structured test plans and test cases
• Estimate, prioritize, plan and coordinate testing activities
• Liaise with internal teams (e.g. developers and product managers) to identify system requirements
• Track quality assurance metrics and QMS compliance
• Automate smoke, sanity and regression suite for backlog
• Expected to take initiative
• Stay up-to-date with new testing and test automation tools and test strategies
• Contribute to SDLC discussion and tweak processes to Avegen specific needs including waterfall, agile, hybrid, etc.

Educational Qualifications:

● Bachelor’s Degree in Engineering

● Additional business degree/Certification in Agile or Scrum preferred

Good to have ISTQB certification

#HiringAlert

We are looking ".NET TEAM LEAD" for Reputed Client @ Bangalore Permanent Role

Experience: 9 - 12 Years

Primary Skills

•6+ years of experience in .NET Framework like C#.Net/ ASP.Net

•Minimum 4 years of experience on Web Application development ADO.Net, HTML, CSS, JavaScript/JQuery

•Been on a Lead role and led a team of 3-5 people for a period of 2 years

•Must have a good exposure on query writing and DB management for writing stored procedures/ user-defined functions

•Should have a very good understanding of the project architecture

Secondary Skills

•Experience in analyzing existing code and debugging.

•Experience in developing the product

•Should have a solid understanding of the SDLC processes (Design, Construction, Testing, Deployment)

•Prior experience of working in AJAX, Crystal report, Infragistics grid and control

•Proven experience of delivering on-time and with quality

•Should have good unit testing skills to review his own development and identify all the defects and get it fixed before releasing the code

Desired Skills

•Should have experience in developing ERP applications or Database Intensive Data Entry applications.

•Experience in the software development life cycle process

•Hands on experience of configuration management and version maintenance

•Hand on experience in writing technical specifications

•n-Tier architecture

Ability

•Excellent Communication skills

•Excellent team handling skills

•Good conceptualization skills

•Strong Visualization ability

•Analytical ability

•Quality Oriented

•Problem solving

Location : Bangalore

Job Description - 221135

Cloudera is looking for a highly experienced software engineer with strong expertise in Java development and a specialty in platform architecture to join the Cloudera Lens team.

Cloudera Lens is a high-fidelity, context-rich, and fully correlated self-service observability & optimization tool that analyzes the state and wellness of a customer’s environments and empowers them to proactively discover and address unknown unknowns in their data, scale operations without compromising on performance or costs, and expedite remediation of issues.

As a Java engineer, you will be working in a team of engineers led by an Engineering Manager, collaborating with other engineers and stakeholders in India, United States, and other countries around the globe.

Responsibilities:

• Lead, architecture, design, and implementation of key aspects of the Cloudera Lens data collection, data analytics, data correlations, and recommendations.

• Work with product management, engineering, UX, and documentation teams to deliver high-quality products.
• Interact with partners and customers to help define roadmap and shape the technology.
• Empower team members to deliver high-quality software at a fast pace.

Requirements:

• Proven track record of performance.
• Passionate about software engineering. Clean coding habits, attention to detail, and focus on quality and testability.

• Strong software engineering skills: object-oriented design, data structures, algorithms.
• Experience with containerization orchestration technologies: Kubernetes, Docker.
• Deep knowledge of system architecture, including process, memory, storage, and network management is highly desired.
• Experience with the following: Java, concurrent programming, and related areas.
• Experience with Java memory management, performance tuning and scaling
• Experience in building horizontally scalable products handling multi-terabyte datasets is desirable.
• Experience with relational and non-relational databases: PostgreSQL, Amazon S3.
• Strong oral and written communication skills in English.

Advantageous To Have:

• Experience in building enterprise-grade cloud products.
• Experience with building/using cross-functional observability products.
• BS or MS in computer science.
• Cloud experience: AWS, Azure, GCP.
• Python, Linux, Micro Services experience.