
Senior Data Engineer
at Heavy Manufacturing, Automotive/Commercial Vehicles, Industr
About the Role
The Smart Operations (Smart Ops) division is seeking a seasoned Senior Data Engineer / Lead Data Engineer to design and scale our next-generation industrial data platform. In this role, you will architect the real-time data backbone that processes high-frequency iHistorian telemetry, IoT sensor feeds, and complex manufacturing data across global operations.
You will be the core technical owner of our Databricks Lakehouse ecosystem, responsible for building optimized, cost-efficient streaming and batch pipelines that deliver high-trust data to our Advanced Analytics, MLOps, and Business Intelligence teams.
Key Responsibilities
- End-to-End Lakehouse Architecture: Design, implement, and scale a robust Medallion Architecture (Bronze-Silver-Gold) on Azure Databricks and Delta Lake.
- Real-Time IoT Ingestion: Build fault-tolerant, low-latency streaming pipelines to ingest high-frequency telemetry and machine sensor data.
- Enterprise Governance: Enforce data security, fine-grained access controls, and comprehensive lineage tracking using Unity Catalog.
- Performance Tuning & Cost Optimization: Actively profile, tune, and optimize Spark workloads (utilizing partitioning, liquid clustering, AQE, and Photon) to drastically minimize cloud compute costs and pipeline runtimes.
- CI/CD Automation: Modernize data platform deployments across Dev/QA/Prod environments using Infrastructure as Code (IaC) and Databricks Asset Bundles (DABs).
- Cross-Functional Collaboration: Partner closely with manufacturing stakeholders, supply chain analysts, and data scientists to provide curated datasets for predictive maintenance, anomaly detection, and operational KPI reporting.
Technical Skills Breakdown
Mandatory Skills (Must-Haves)
- Domain Context: Minimum 5+ years of Data Engineering experience with direct exposure to Heavy Manufacturing, Automotive/Commercial Vehicles, Industrial Automation, or Global Logistics data environments.
- Databricks Ecosystem: Deep architectural mastery of Azure Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog governance.
- Streaming & CDC: Proven hands-on experience engineering real-time data pipelines using Apache Kafka, Azure Event Hubs, or Spark Structured Streaming, alongside Change Data Capture (CDC) tools (e.g., Debezium).
- Cloud Infrastructure: Strong proficiency within the Microsoft Azure stack—specifically Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS Cores), Azure Key Vault, and Azure Monitor.
- Advanced SQL & Python: Expert-level Python programming and complex SQL optimisation (advanced indexing, partition pruning, performance tuning of massive datasets).
- DevOps Automation: Hands-on experience setting up production CI/CD pipelines using Git, Azure DevOps, GitHub Actions, or Databricks Asset Bundles (DABs).
Good to Have Skills (Nice-to-Haves)
- Professional Certifications: Databricks Certified Data Engineer Professional (highly preferred), Databricks Certified Associate Developer for Apache Spark, or Microsoft Certified: Azure Data Engineer Associate (DP-203).
- Industrial & ERP Systems: Familiarity with industrial data systems (SCADA, PLC, iHistorian), heavy vehicle telemetry standards (MDF/MF4 files), or deep integration experience with enterprise ERPs (SAP S/4HANA, SAP BW).
- MLOps & GenAI: Exposure to working alongside Machine Learning pipelines, dataset feature engineering, or implementing Generative AI frameworks (RAG, Vector Databases like FAISS/Weaviate) for semantic query self-service.
- Infrastructure as Code (IaC): Basic proficiency with Terraform for provisioning cloud data infrastructure.
Education & Qualifications
• Bachelor’s or Master’s Degree in Computer Science, Information Technology, Electrical/Electronics Engineering, or a closely related technical field.

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Job Description:
We are looking for a dedicated and enthusiastic Customer Support Executive / Customer Service Representative to join our team. The ideal candidate should be passionate about customer service, possess strong communication skills, and have a keen eye for detail. Whether you're a seasoned professional or a fresh graduate eager to jumpstart your career, we welcome you to apply!
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👉🏻 Respond promptly to customer queries and ensure all interactions are recorded accurately.
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😇 Issue Resolution:
👉🏻 Identify and resolve customer issues efficiently.
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🛒 Order Management:
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How to Apply:
Please fill this form to apply for the job: https://forms.gle/4twmj2jd1iVuyoTc8
We look forward to welcoming a new member to our dynamic team!
An analytics, software development and product focused company with a focus to create value for the various sectors of the Society. We try to use technology as a innovation for various problems people face and hence resulting in the upliftment of the people.
What we are looking
We are searching for an organized, ambitious .NET developer to generate software using .NET's infrastructure. The .NET developer's duties include sourcing project requirements, deciding on the most appropriate software solutions, and ensuring that developments are error-free. You should also ensure that the final products are well-presented and engaging.
Main characteristics of who we’re looking to hire in our company: Ability to complete projects, follow through, respect deadlines and come up with creative solutions. Willingness to learn and advance in his/her career and become a useful member of our team. Communicative, people person, team player, intelligent, curious and hard-workin.
Principal Responsibilities:
- Develop dynamic SPAs (single page applications).
- Test and deploy applications and systems.
- Hands on and implements complex AngularJS applications, directives, controllers, services.
- Deep functional knowledge or with Web Services (REST, SOAP, etc) is needed to be successful in this position.
- Ensure software meets all requirements of quality, security, modifiability, extensibility etc
Education Requirements:
- Graduated or pursuing BSc/BA in Computer Science, Engineering or a related field.
Training, Skills, Knowledge & Experience
- 3-5 years work experience as a developer.
- Development experience using Microsoft Asp.NET C#.
- Core web fundamentals: HTML5, CSS and JavaScript.
- Working knowledge of databases and database structure.
- Working experience on ASP.NET Web API.
- Working experience with source control Git.
- Solid understanding of Responsive Web Design and framework.
- Excellent troubleshooting and communication skills.
- Familiar with scrum methodology
- Angular 6+, Typescript2+, JavaScript, HTML5, CSS3, JSON, ES6 standards, Bootstrap, Redux and Flux, NgRX
- Integration with REST Web-services
- Experience with RESTful services
- JIRA, BitBucket, SouceTree, and Confluence
- Team Player and efficient communicator who can work with international teams
- Software Development Process, Object-Oriented Design (OOD), Software Debugging
- Requirements Understanding and Estimates
As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.
You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code
Your Key Responsibilities
- Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
- Developing reusable Infrastructure code and testing frameworks
- Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
- Design a scalable Centralized Logging and Metrics platform
- Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.
What to Bring
- Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
- Experience in developing applications using programming languages like Java, Python and Go
- Experience in handling logs and metrics at a high scale.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Extract and present valuable information from data
- Understand business requirements and generate insights
- Build mathematical models, validate and work with them
- Explain complex topics tailored to the audience
- Validate and follow up on results
- Work with large and complex data sets
- Establish priorities with clear goals and responsibilities to achieve a high level of performance.
- Work in an agile and iterative manner on solving problems
- Evaluate different options proactively and the ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches.
- Good understanding of Digital & analytics
- Strong communication skills, orally and in writing
Job Overview:
As a Data Scientist, you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling, and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding of how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results.
Primary Responsibilities:
- Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development
- Combine, explore, and draw insights from data. Often large and complex data assets from different parts of the business.
- Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques
- Prototype and pilot new solutions and be a part of the aim of ‘productizing’ those valuable solutions that can have an impact at a global scale
- Guides and coaches other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes
- Identifies and interprets trends and patterns in complex data sets to enable the business to make data-driven decisions
Locus is a global decision- making platform in the supply chain that uses deep learning and proprietary algorithms to provide route optimization, real-time tracking, insights and analytics, beat optimization, efficient warehouse management, vehicle allocation and utilization, intuitive 3D packing and measurement of packages. Locus automates human decisions required to transport a package or a person, between any two points on earth, delivering gains along efficiency, consistency, and transparency in operations.
Locus, which has achieved a peak of 1 million orders processed in a day (200,000 orders an hour) and is trained & tested on over 100 million+ order deliveries, works in 75 cities across the globe. Locus works with several large-scale market leaders like Urban Ladder, Tata Group of Companies, Droplet, Licious, Rollick, Lenskart, other global FMCG, pharma, e-commerce, 3PL and logistics conglomerates.
Locus is backed by some of the biggest names in the market and recently raised $22 MN in Series B funding and also $4 Mn in a pre-Series B round. Earlier, In 2016, Locus raised $2.75 Mn (INR 18.3 Cr) in a Series A funding.
Locus was started by Nishith Rastogi and Geet Garg, two ex-Amazon engineers on a mission to democratize logistics intelligence for businesses across industries. Nishith was profiled by Forbes Asia in their ’30 Under 30’ 2018 list. Geet, on the other hand, holds a dual degree (BTech and MTech) in Computer Science and Engineering from the Indian Institute of Technology. Our team constitutes of engineers from Indian Institute of Technology and Birla Institute of Technology & Science- Pilani, and Data Scientists with PhDs from Carnegie Mellon University and Tata Institute of Fundamental Research. Our multifaced product and business team is led by senior members from Barclays, Google & Goldman Sachs with immense operational execution experience.
Job Description
- Design & implement backend APIs at Locus.sh
- Mentor junior developers technically.
- Actively work to reduce tech debt in the Locus backend
- Work towards more stability & scalability of the backend
- Tech stack - Java, AWS, Aurora etc.
Eligibility
- 4-8 years of product company experience
- OOP implementation experience. Programming language does not matter, We use Java internally but have hired folks from non Java background.
- Hands on experience in SQL, Dynamo DB, Postgres etc preferred.
- Prior experience building REST APIs
- Advanced understanding of AWS stack
- Prior knowledge of solving problems at scale.
Perks:
- Healthy catered meals at office
- You decide your own Work From Home (WFH) and Out Of Office (OOO)
- Pet-friendly - bring your pets to the office any day. Locus family already has a Rottweiler and a Beagle
Duties and Responsibilities
- Guide team development efforts towards successful project delivery.
- Provide technical leadership to teammates through coaching and mentorship.
- Maintain high standards of software quality within the team by establishing good practices and habits.
- Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans.
- Design, develop, and unit test applications in accordance with established standards.
- Participate in peer-reviews of solution designs and related code.
- Develop, refine, and tune integrations between applications.
- Analyze and resolve technical and application problems.
- Adhere to high-quality development principles while delivering solutions on-time and on-budget.
- Research and evaluate a variety of software products.
- Provide third-level support to business users.
- Research and evaluate a variety of software products.
Desired Skills & Experience
1. Must have 2-5 years of experience in independently creating web applications as well as in managing teams.
2. Must be familiar with all the latest technologies in both front-end as well as back-end development.
3. Must have experience with: Angular, Postgresql etc.
4. Experience with Ruby on Rails, Graphql is a bonus.













