Navision/Business Central Technical Consultant

Job Title : QA Lead (AI/ML Products)

Employment Type : Full Time

Experience : 4 to 8 Years

Location : On-site

Mandatory Skills : Strong hands-on experience in testing AI/ML (LLM, RAG) applications with deep expertise in API testing, SQL/NoSQL database validation, and advanced backend functional testing.

Role Overview :

We are looking for an experienced QA Lead who can own end-to-end quality for AI-influenced products and backend-heavy systems. This role requires strong expertise in advanced functional testing, API validation, database verification, and AI model behavior testing in non-deterministic environments.

Key Responsibilities :

• Define and implement comprehensive test strategies aligned with business and regulatory goals.
• Validate AI/ML and LLM-driven applications, including RAG pipelines, hallucination checks, prompt injection scenarios, and model response validation.
• Perform deep API testing using Postman/cURL and validate JSON/XML payloads.
• Execute complex SQL queries (MySQL/PostgreSQL) and work with MongoDB for backend and data integrity validation.
• Analyze server logs and transactional flows to debug issues and ensure system reliability.
• Conduct risk analysis and report key QA metrics such as defect leakage and release readiness.
• Establish and refine QA processes, templates, standards, and agile testing practices.
• Identify performance bottlenecks and basic security vulnerabilities (e.g., IDOR, data exposure).
• Collaborate closely with developers, product managers, and domain experts to translate business requirements into testable scenarios.
• Own feature quality independently from conception to release.

Required Skills & Experience :

• 4+ years of hands-on experience in software testing and QA.
• Strong understanding of testing AI/ML products, LLM validation, and non-deterministic behavior testing.
• Expertise in API Testing, server log analysis, and backend validation.
• Proficiency in SQL (MySQL/PostgreSQL) and MongoDB.
• Deep knowledge of SDLC and Bug Life Cycle.
• Strong problem-solving ability and structured approach to ambiguous scenarios.
• Awareness of performance testing and basic security testing practices.
• Excellent communication skills to articulate defects and QA strategies.

What We’re Looking For :

A proactive QA professional who can go beyond UI testing, understands backend systems deeply, and can confidently test modern AI-driven applications while driving quality standards across the team.

💡 Transform Banking Data with Us!

We’re on the lookout for a Senior Denodo Developer (Remote) to shape the future of data virtualization in the banking domain. If you’re passionate about turning complex financial data into actionable insights, this role is for you! 🚀

✨ What You’ll Do:

✔ Build cutting-edge Denodo-based data virtualization solutions

✔ Collaborate with banking SMEs, architects & analysts

✔ Design APIs, data services & scalable models

✔ Ensure compliance with global banking standards

✔ Mentor juniors & drive best practices

💼 What We’re Looking For:

🔹 6+ years of IT experience (3+ years in Denodo)

🔹 Strong in Denodo VDP, Scheduler & Data Catalog

🔹 Skilled in SQL, optimization & performance tuning

🔹 Banking/Financial services domain expertise (CBS, Payments, KYC/AML, Risk & Compliance)

🔹 Cloud knowledge (AWS, Azure, GCP)

📍 Location: Remote

🎯 Experience: 6+ years

🌟 Catchline for candidates:

👉 “If you thrive in the world of data and want to make banking smarter, faster, and more secure — this is YOUR chance!”

📩 Apply Now:

• Connect with me here on Cutshort and share your resume/message directly.

Let’s build something great together 🚀

#WeAreHiring #DenodoDeveloper #BankingJobs #RemoteWork #DataVirtualization #FinTechCareers #DataIntegration #TechTalent

Overview

The Business Development Executive is responsible for identifying and developing new business opportunities, maintaining relationships with potential and existing clients, and driving the sales process from lead generation to closing. This role involves a mix of direct customer interaction, strategic planning, and collaboration with senior sales staff to achieve company growth targets.

Key Responsibilities

Lead Generation & Outreach

·      Contact and develop relationships with potential customers through email marketing, cold calling, and LinkedIn outreach.

·      Execute email campaigns targeting prospects to generate leads and create business opportunities.

·      Mine data and extract information of C-level executives from various online sources and tools.

Sales Process Management

·      Follow up on leads and respond to sales inquiries from existing and potential customers as per guidelines.

·      Assist senior staff in generating and following up on leads.

·      Convince clients, schedule appointments, and manage the sales pipeline.

·      Track sales efforts and monitor results to ensure alignment with targets.

Customer Relationship Management

·      Liaise between customers and the company to provide up-to-date status on service, pricing, and new product releases.

·      Collect customer feedback and conduct market research to inform business strategy and product development.

·      Maintain CRM systems to manage lead generation, track interactions, and store customer information.

Market & Competitor Analysis

·      Stay informed about the latest products, market trends, and competitors to provide insights for business strategy.

·      Increase business opportunities through various routes to market.

Required Skills & Qualifications

·      Strong communication and interpersonal skills.

·      Proficient in email marketing, cold calling, and LinkedIn outreach.

·      Experience in data mining and CRM systems.

·      Ability to prepare detailed reports and commercial proposals.

·      Strong analytical and organizational skills.

·      Ability to work independently and as part of a team.

·      Understanding of market research and customer feedback processes.

Performance Metrics

·      Number of new leads generated.

·      Conversion rate of leads to appointments and sales.

·      Quality and timeliness of proposals and reports.

·      Customer satisfaction and feedback.

·      Sales targets and revenue growth.

Roles and Responsibilities :

Responsibilities

- To analysis business requirements, prepare design and implementation recommendations and estimate development effort

- Collaborate with cross-functional teams to define, design, and ship new features

- Lead or participate in design reviews, code reviews and architecture evolution discussions

- Unit-test code for robustness, including edge cases, usability, and general reliability

- Work on bug fixing and improving application performance

- Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Required Skills

- Experienced with front-end programming language with React JS.

- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.

- Thorough understanding of React.js and its core principles.

- Experience with popular React.JS workflows (such as Flux or Redux)

-Experience on .Net Core

-Experience in database MS SQL

Position Overview: We are seeking a talented Data Engineer with expertise in Power BI to join our team. The ideal candidate will be responsible for designing and implementing data pipelines, as well as developing insightful visualizations and reports using Power BI. Additionally, the candidate should have strong skills in Python, data analytics, PySpark, and Databricks. This role requires a blend of technical expertise, analytical thinking, and effective communication skills.

Key Responsibilities:

1. Design, develop, and maintain data pipelines and architectures using PySpark and Databricks.
2. Implement ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
3. Collaborate with data analysts and business stakeholders to understand data requirements and translate them into actionable insights.
4. Develop interactive dashboards, reports, and visualizations using Power BI to communicate key metrics and trends.
5. Optimize and tune data pipelines for performance, scalability, and reliability.
6. Monitor and troubleshoot data infrastructure to ensure data quality, integrity, and availability.
7. Implement security measures and best practices to protect sensitive data.
8. Stay updated with emerging technologies and best practices in data engineering and data visualization.
9. Document processes, workflows, and configurations to maintain a comprehensive knowledge base.

Requirements:

1. Bachelor’s degree in Computer Science, Engineering, or related field. (Master’s degree preferred)
2. Proven experience as a Data Engineer with expertise in Power BI, Python, PySpark, and Databricks.
3. Strong proficiency in Power BI, including data modeling, DAX calculations, and creating interactive reports and dashboards.
4. Solid understanding of data analytics concepts and techniques.
5. Experience working with Big Data technologies such as Hadoop, Spark, or Kafka.
6. Proficiency in programming languages such as Python and SQL.
7. Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
8. Excellent analytical and problem-solving skills with attention to detail.
9. Strong communication and collaboration skills to work effectively with cross-functional teams.
10. Ability to work independently and manage multiple tasks simultaneously in a fast-paced environment.

Preferred Qualifications:

• Advanced degree in Computer Science, Engineering, or related field.
• Certifications in Power BI or related technologies.
• Experience with data visualization tools other than Power BI (e.g., Tableau, QlikView).
• Knowledge of machine learning concepts and frameworks.

Job Role: SAP FICO

Experience: 5+

Location: Pan India

Notice Period: Immediate to 15 Days

Position: C2H

Job Description:

o CA/ICWA candidates are preferred but otherwise should be a Post Graduate as minimum educational qualification like MBA/MCom, etc o Should have 5-8 plus years of experience in SAP FI and CO with S4Hana experience. Add on with FSCM, Funds Management experience would be added advantage o Must have at least 2 Implementation or support projects on S4 Hana with experience in Product costing and COPA in Controlling module o Should have at least 4 plus end-to-end Implementations and Support experience.

o SAP Finance (S4 Hana) – Basic knowledge in FI submodules- GL, AR, AP & Assets

 o SAP Finance – Month end closing activities, Validations and Substitutions & Reporting. o Should have worked on two Implementation projects in Controlling in S4 Hana. o SAP Controlling -Should have hands on experience in Overheads Cost Controlling, in product costing like product cost planning, cost object controlling and actual costing & ML, Profitability analysis, COPA Planning, Settlement, Month end closing process

o Integration between FICO and other core modules like MM/ SD / PP /PS o Should have strong Domain experience in Finance o Leadership experience, minimum 3 years in a team lead role. Strong executive presence and ability to interact with Customer Top Management

 o SAP Certification in preferred o Good Business process understanding

 o Knowledge of SAP Best practices and building blocks o Should be able to design and configure business scenarios o Solution focused - be able to provide solutions

o Knowledge in User exits, BAPI and uploading tools like LSMW, BDC & LTMC. o Developing functional specifications for new developments / change requests

o Day to Day monitoring of tickets and work towards closure

o Analyzing the issues and provide estimates o Development of functional specification documents for changes and enhancements o Issue Resolution based on SLA o Co-ordinate with technical team to resolve the issues in the given objects

o Must be a very good team player with good interpersonal and communication skills

o Business Travel: Project specific travelling is mandatory for all the SAP Consultants

That is what makes us special: • Team-oriented corporate culture, collaboration as equals and steady knowledge transfer • Active participation in shaping your future • Individually tailored mentoring program • Sustainable career support with our career model and individual development programs • International project opportunities and network

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Snowflake Cloud Datawarehouse as well as SQL and Azure ‘big data’ technologies
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 3+ years of experience in a Data Engineer or Software Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
• Experience with “Snowflake Cloud Datawarehouse”
• Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
• Experience with data pipeline and workflow management tools
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
• Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience supporting and working with cross-functional teams in a dynamic environment.