Electric Design Engineer

📢 Job Title : MDM Business Analyst

📍 Location : On-site, Sydney, Australia

💼 Experience : 5+ Years

🗓 Notice Period : Immediate

Summary :

We are seeking a skilled MDM Business Analyst with hands-on experience in Atacama or Informatica MDM solutions. The ideal candidate will work closely with business and technical teams to define MDM strategies, ensure data quality, and drive enterprise data governance.

🔧 Key Responsibilities :

• Gather, analyze, and document business and data governance requirements.
• Design and support implementation of MDM solutions in collaboration with technical teams.
• Prepare BRDs, FRSs, and TDDs to translate business needs into technical specifications.
• Lead data profiling, modeling, cleansing, and mapping activities.
• Ensure effective MDM performance, hierarchy management, and workflow automation.
• Support UAT by defining test cases and validating data quality.
• Act as a liaison between business, IT, and vendors to ensure smooth project delivery.

✅ Required Skills :

• Bachelor’s in Computer Science, IT, or related field.
• 5+ years of experience in MDM-focused Business Analyst roles.
• Expertise in Atacama MDM / Informatica MDM (or similar tools).
• Strong SQL, data modeling, and data governance experience.
• Familiarity with relational databases (Oracle, SQL Server, PostgreSQL).
• Excellent communication, documentation, and stakeholder management skills.

➕ Nice to Have :

• Familiarity with Agile (Scrum/Kanban) methodologies.
• Experience with BI tools (e.g., Power BI, Tableau).
• Certifications in MDM, CBAP, PMP, or Informatica.
• Exposure to cloud MDM (AWS, Azure, GCP).
• Experience in finance, healthcare, or retail domains.

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Role Overview

We are seeking a hands-on technology POD Lead who blends engineering excellence with statistical rigor and business acumen to drive end-to-end product delivery in an agile, data-driven environment. The ideal candidate will lead a multidisciplinary team of BI developers, data engineers, ML practitioners, and product analysts to accelerate business growth through scalable, AI-enabled products, econometric models and intelligent insights.

This role sits at the intersection of engineering, analytics, econometrics, MLOps and growth strategy, requiring a balance of technical depth, stakeholder engagement, and agile execution.

Key Responsibilities

1. Leadership & Delivery

• Lead a cross-functional pod of data engineers, BI developers, statisticians and machine learning engineers to deliver AI-powered products and analytics solutions.
• Translate strategic goals into data science roadmaps executed in agile sprints, ensuring measurable business outcomes for every release.
• Foster a culture of experimentation, accountability, and rapid iteration across data, AI, and product workstreams.

2. Product & Business Integration

• Partner with business stakeholders across Sales, Marketing, Finance, and Operations to identify high-impact use cases such as churn prediction, growth forecasting, pricing optimization, causal impact analysis or next-best-action recommendations.
• Drive the roadmap for analytical and econometric product capabilities (e.g., predictive dashboards, personalization engines, time-series forecasting, and more).
• Ensure all solutions are aligned with enterprise data strategy, governance, MLOps lifecycle and security standards.

3. Technical Execution

• Collaborate with ML engineers to productionalize models using Databricks, MLflow, Azure ML, or equivalent CI/CD MLOps frameworks.
• Guide teams on feature engineering, model selection, hyperparameter tuning, and validation for statistical and machine learning models.
• Encourage adoption of reusable data assets, API-based integrations, and modular code frameworks.
• Oversee econometric modeling, causal inference studies, and time-series forecasting for business-critical decision-making.
• Champion model lifecycle management, including version control, retraining pipelines, and performance drift monitoring.

4. Business Intelligence & Data Storytelling

• Supervise the creation of advanced BI dashboards and insight layers powered by predictive and generative AI.
• Translate complex statistical outputs into actionable business narratives for executive decision-making.
• Champion KPI alignment and measurement frameworks, ensuring analytics deliver quantifiable value to revenue, growth, retention, and operational efficiency metrics.

5. Agile Program Management

• Manage sprint planning, backlog prioritization, and resource allocation across concurrent projects.
• Track velocity, quality metrics, and ROI impact for each product stream.
• Coach teams on agile best practices and outcome-oriented delivery.

Qualifications

Required

• 10+ years of total experience with at least 3 years in a tech lead capacity.
• Proven expertise in Python, SQL, statistical modeling (e.g., regression, time-series, causal inference) and one or more of Power BI, Tableau, MicroStrategy.
• Strong foundation in data engineering, cloud architecture (Azure/AWS/GCP), and ML model deployment.
• Experience leading cross-functional agile teams with engineers, analysts, and data scientists.
• Excellent communication and stakeholder management skills — capable of simplifying complex data stories for business leaders.

Preferred

• Experience in forecasting models, econometrics, and experimental design (A/B testing, uplift modeling).
• Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Azure ML pipelines) and monitoring frameworks for models in production.
• Familiarity with agentic AI, LLM-based product development, or generative analytics use cases.
• Prior experience building analytics or AI solutions in B2B, SaaS, or digital transformation contexts.
• Certifications in Agile, Cloud (Azure ML, AWS Data Analytics), or Data Science specialization are a plus.

Key Traits

• Hands-on technologist who can code, review, and guide with empathy.
• Strategic thinker who connects product vision with execution.
• Comfortable operating in ambiguity and scaling solutions from POC to enterprise rollout.
• Passionate about mentoring teams and embedding a data-first, growth-oriented mindset.

Role: Azure DevOps AI Architect

Location: Bangalore (Onsite)

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

• 10+ years of experience in cloud engineering and architecture.

• 5+ years of hands-on experience with Microsoft Azure across computer, networking, storage, identity, and data services.

• Proven experience designing and implementing enterprise-grade CI/CD pipelines.

• Strong hands-on expertise with Infrastructure-As-Code (Terraform, Bicep, or ARM).

• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

• Deep knowledge of DevSecOps principles, tools, and practices. • Experience with containerization and orchestration: Docker, Kubernetes (AKS).

• Proficiency in scripting and development: Python, PowerShell, Bash.

• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Microsoft Certified: Azure Solutions Architect Expert.

• Microsoft Certified: DevOps Engineer Expert.

• Microsoft Certified: Azure AI Engineer Associate.

• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

• Familiarity with Datadog, Prometheus, or equivalent observability platforms.

• Experience in the real estate, retail, or enterprise industry sector.

• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

• Background in building Internal Developer Platforms (IDP).

What are we looking for: We are looking for a Senior CAE Engineer to lead simulation, analysis,

and validation activities for UAV platforms and subsystems. The role involves performing advanced

engineering simulations, supporting design decisions, optimizing product performance, and

validating designs through correlation with testing data.

You will work closely with design, avionics, manufacturing, and flight-test teams to ensure robust,

lightweight, and reliable UAV systems.

Key Responsibilities

• Perform structural, modal, vibration, thermal, and CFD simulations for UAV systems and

components.

• Develop, validate, and maintain CAE models for airframes, payloads, and mechanical

subsystems.

• Correlate simulation results with physical testing and experimental data.

• Support design optimization for weight reduction, performance improvement, and reliability

enhancement.

• Generate technical reports, analysis documentation, and certification support documents.

• Participate in design reviews and provide engineering recommendations based on simulation

results.

• Collaborate with cross-functional teams including design, avionics, manufacturing, and testing.

• Mentor junior engineers and contribute to technical capability development within the team.

• Drive innovative engineering solutions and support concept development activities.

• Manage multiple analysis projects while meeting quality and timeline requirements.

Requirements

• Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, or a related

discipline.

• Minimum 3 years of experience in CAE, simulation, or engineering analysis.

• Strong proficiency in FEA, CFD, and engineering simulation tools such as ANSYS,

HyperWorks, Abaqus, Nastran, or similar platforms.

• Good understanding of structural mechanics, vibration, thermal analysis, and fluid dynamics.

• Experience working with composite and metallic structures.

• Ability to interpret test data and validate simulation models.

• Strong analytical, problem-solving, and communication skills.

• Demonstrated leadership and mentoring capabilities.

Preferred Qualifications

• Experience in UAV, aerospace, automotive, defense, or robotics industries.

• Knowledge of aerospace design standards and certification requirements.

• Exposure to lightweight structure design and optimization techniques.

• Familiarity with flight-test data analysis and validation processes.

Responsibilities

• Conduct market research to identify selling possibilities and evaluate customer needs.
• Actively seek out new sales opportunities through cold calling, networking and social media
• Set up meetings with potential clients and listen to their wishes and concerns.
• Prepare and deliver appropriate presentations on products and services.
• Create frequent reviews and reports with sales and financial data.
• Ensure the availability of stock for sales and demonstrations.
• Participate on behalf of the company in exhibitions or conferences.
• Negotiate/close deals and handle complaints or objections.
• Collaborate with team members to achieve better results.
• Gather feedback from customers or prospects and share it with internal teams.

Requirements and skills

• Proven experience as a Sales Executive or relevant role
• Proficiency in English
• Excellent knowledge of MS Office
• Hands-on experience with CRM software is a plus.
• Thorough understanding of marketing and negotiating techniques
• Fast learner and passion for sales
• Self-motivated with a results-driven approach
• Aptitude in delivering attractive presentations.
• Graduate
• Industry experience in Printing services, Printing equipment, Document management system, cloud-based services selling.

·        Must have a Two wheeler

• Backend development along with team management
• Hands on experience in product development 
• Preferred candidates from Fintech and Banking sectors
• Exp in Python / Java slong with databases like MySQL, NoSQL, etc
• Knowledge of Agile methodology

Desired Experience

3+ years

Job Description

What You’ll Do

• Design financial systems for scale. Measure, plan, iterate.
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Setup and own the engineering architectures built around event sourcing, application sharding, database sharding, service communication mesh, etc.
• The tech: Go, Google Cloud Spanner, Kafka, Redis

What you bring to the table

• 3+ years of experience. Relevant experience is preferred.
• Knowledge of 2 common programming languages - Python & Go / Java & Node / Rust
• Comfortable in linux command line, AWS or GCP
• Strong unit test and debugging skills
• Great communication skills

Bonus if you have…

• Love building great products and engineering systems from scratch
• Are a Self-starter, Hustler and Curious to Learn
• Have an understanding of fundamental design principles behind a scalable application
• Thrive in an early-stage startup environment with less stability and more ambiguity
• Have an interest in financial products and/or cryptocurrency

UI Designer for Landing Page Creator.

In this role, you will be responsible for creating design solutions that have a high visual impact.

Moreover, this an Independent contributor role, wherein we expect the candidate to:

• Conceptualize the design
• Create Wireframe for approval
• Deliver the final HTML Asset
• Own the marketing impact of these creatives and basis the learning create further variations to positively impact the business

Besides static creatives, we also expect the candidate to deliver video assets created on Invideo's video editor

Minimum Qualifications

• Minimum of 2 to 4 years of experience in an advertising field
• Degree in Graphic Design, Marketing, Art, or a related field, or equivalent field experience would be an added advantage.
• Able to work on Mac osx, Windows and different software: adobe photoshop, adobe illustrator, after effects.
• Ability to think creatively and evidence of success in developing brands and delivering them to market.
• Ability to manage multiple priorities in a fast paced and deadline-driven environment.
• Passionate about the quickly-evolving digital and social media environment.
• Sincere curiosity about how people interact and are influenced online.