
scada designing,scada development,scada engineer
at client of peoplefirst consultants
SKILLS:Scada designing ,scada developement ,scada engineer,scada (wonderware,siemens wincc,RA factory talk)
Location: Chennai
Education: BE / B.Tech
Experience: 3-6 years
Domain knowledge: In areas of Industrial Automation technology tools – PLC/DCS/SCADA/HMI for Manufacturing in one or more of the following verticals: Chemicals, Glass, Construction products, Automotive, Abrasives, ceramics industries.
Requirements:
- To be part of Digital Manufacturing and Industry 4.0 projects across group of companies
- Design and develop Industrial automation applications for discrete, process and hybrid Manufacturing
- Experience in working with various Automation OEM or systems Integrators- Rockwell/Siemens/Schneider
- Experience in providing the network architecture for connectivity of PLC/DCS/OPC/HMI for software integration
- Experience in Industrial automation tools- feature selection, product evaluation for cost effective solution
- Expertise in Industrial automation - Best Practices, Industry Standards and integration methodologies
- Experience in various SCADA platforms such as - GE Proficy, Wonderware, Siemens Win CC, RA Factory Talk
- Collaborate with multi-functional teams to provide Industrial Automation solutions for Digital Manufacturing
- Part of end to end project of automation right from design to delivery of the project.
Roles and Responsibilities:
- Part of INDEC 4.0 Digital Mfg Industrial Automation technology practice
- Work on various projects in Digital MFG applications
- Deliver L1/L2 integration as well as manufacturing IT applications.
- Verify and Validate Industrial Automation projects across L1- L3 layers of integration
- Track multiple Industrial projects for INDEC 4.0 competency center across business units.

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We’re building a powerful, AI-driven communication platform — a next-generation alternative to RingCentral or 8x8 — powered by OpenAI, LangChain, and SIP/WebRTC. We're looking for a Full-Stack Software Developer who’s passionate about building real-time, AI-enabled voice infrastructure and who’s excited to work in a fast-moving, founder-led environment.
This is an opportunity to build from scratch, take ownership of core systems, and innovate on the edge of VoIP + AI.
What You’ll Do
- Design and build AI-driven voice and messaging features (e.g. smart IVRs, call transcription, virtual agents)
- Develop backend services using Python, Node.js, or Golang
- Integrate OpenAI, Whisper, and LangChain with real-time VoIP systems like Twilio, SIP, or WebRTC
- Create scalable APIs, handle call logic, and build AI pipelines
- Collaborate with the founder and early team on product strategy and infrastructure
- Participate in occasional in-person strategy meetings (Delhi, Bangalore, or nearby)
Must-Have Skills
- Strong programming experience in Python, Node.js, or Go
- Hands-on experience with VoIP/SIP, WebRTC, or tools like Twilio, Asterisk, Plivo
- Experience integrating with LLM APIs, OpenAI, or speech-to-text models
- Solid understanding of backend design, Docker, Redis, PostgreSQL
- Ability to work independently and deliver production-grade code
Nice to Have
- Familiarity with LangChain or agent-based AI systems
- Knowledge of call routing logic, STUN/TURN, or media servers (e.g. FreeSWITCH)
- Interest in building scalable cloud-first SaaS products
Work Setup
- 🏠 Remote work (India-based, must be reachable for meetings)
- 🕐 Full-time role
- 💼 Direct collaboration with founder (technical)
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Exp: 3 - 6 Years
CTC: up to 20 LPA
Required Qualifications
- Bachelor’s degree in Finance, Business Administration, Information Systems, or related field
- 3+ years of hands-on implementation/project management experience
- Proven experience delivering projects in Fintech, SaaS, or ERP environments
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OVERVIEW
We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.
The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.
CORE TECHNICAL REQUIREMENTS
Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.
SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.
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Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.
WHAT YOU WILL BUILD
Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.
Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.
Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.
Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.
Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.
DOMAIN EXPERIENCE
Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.
Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.
High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.
ENGINEERING STANDARDS
Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.
Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.
Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.
Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.
TECHNICAL ENVIRONMENT
PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.
WHAT WE ARE LOOKING FOR
Attention to Detail: You notice when something is slightly off and investigate rather than ignore.
Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.
Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.
Long-Term Orientation: You build systems you will maintain for years.
Communication: You document clearly, explain data issues to non-engineers, and surface problems early.
EDUCATION
University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.
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YoHo Designs Pvt Ltd is a startup company located in Bengaluru that offers an extensive range of affordable and durable interior designs, from space planning and architecture to FF&E. Our goal is to provide our clients with unique and innovative designs that reflect our creativity and make their homes beautiful places to live.
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Over one year of experience with developing Flutter applications for mobile and web.
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Experience with third-party libraries and APIs.
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Understanding of the Agile development life-cycle.
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Experience with automated testing and building.
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Experience with Git and Github.
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Proven experience in writing readable code, creating extensive documentation for
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Well-versed with Flutter Null Safety and Bloc architecture.
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