Cluster Lead

We’re Hiring: Sr. Engineer / Asst. Manager – Estimation (E&I)

📍 Location: Airoli, Navi Mumbai

🕒 Timings: 8:30 AM – 6 PM | 🗓️ 5 Days Working

🎓 Qualification & Experience

• BE (Electrical / Instrumentation)
• 10–15 yrs in Water Industry 🌊
• Proven experience in handling large projects (>₹20 Cr.)

⚡ Key Skills

• Design & Estimation of MCC, PLC, cabling & instruments
• Process & Proposal dept. experience for E&I estimation
• Expertise in tender specifications & cost optimization
• Strong communication with vendors & clients 🤝

📌 Responsibilities

• Prepare techno-commercial offers for E&I in WTP & recycle plants
• Develop basic engineering package (E&I) incl. P&ID 📑
• Maintain vendor database (Electrical & Automation)
• Attend technical meetings with clients/consultants

Role overview:

• Must have About 5 - 11 years and at least 3 years relevant experience with Bigdata. 
• Must have Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amounts of data. 
• Must have experience in Hadoop, Hive, Spark with Scala with good experience in performance tuning and debugging issues.
• Good to have any stream processing Spark/Java Kafka. 
• Must have experience in design and development of Big data projects.
• Good knowledge in Functional programming and OOP concepts, SOLID principles, design patterns for developing scalable applications. 
• Familiarity with build tools like Maven. 
• Must have experience with any RDBMS and at least one SQL database preferably PostgresSQL
• Must have experience writing unit and integration tests using scaliest
• Must have experience using any versioning control system - Git 
• Must have experience with CI / CD pipeline – Jenkins is a plus  
• Basic hands-on experience in one of the cloud provider (AWS/Azure) is a plus
• Databricks Spark certification is a plus.

What would you do here:

As a Software Development Engineer 2 you will be responsible for expanding and optimising our data and data pipeline architecture as well as optimising data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline design and data wrangler who enjoys optimising data systems and building them from the ground up. The Data Engineer will lead our software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimising or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities:

•Create and maintain optimal data pipeline architecture

•Assemble large complex data sets that meet functional / non-functional business requirements.

•Identify design and implement internal process improvements: automating manual processes optimising data delivery, coordinating to re-design infrastructure for greater scalability etc.

•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

•Work with data and analytics experts to strive for greater functionality in our data systems.

- Support PROD systems

Role Description:

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable.

Roles & Responsibilities:

• Developing and implementing machine learning models and algorithms to solve complex business problems
• Conducting data analysis and modeling using statistical and data analysis tools
• Collaborating with other teams to ensure the consistency and integrity of data
• Providing guidance and mentorship to junior data science and modeling specialists
• Presenting findings and recommendations to stakeholders

Technical Skills

Skills Requirements:

• Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.
• Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
• Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
• Understanding of big data technologies such as Hadoop, Spark, or Hive.
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.

Qualifications

• 4-6 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem-solving, sophisticated design and quality products is important.

Responsibilities

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Skills

• 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 (Redux)
• Familiarity with newer specifications of EcmaScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools GIT
• Familiarity with Docker

Requirements:

• Bachelor’s/Master in computer science
• 3-5 years of work experience
• Excellent problem-solving skills
• Able to work in a fast, unstructured environment
• Excellent communication and collaboration skills
• Must have access to FTTH internet connection

• Maintain UNIX/Linux Operating System
• Create and maintain environment for running batch jobs associated with daily batch cycle and batch reporting subsystem
• Work with LAN/Network personnel to ensure compatibility with LAN applications and peripheral hardware to provide end users with reliable and stable working environment
• Support and maintain other vendor database software installed on the LAN servers
• Perform User Access Management.
• Experience supporting day-today administration functions including user account management and script creation
• Apply Patches and Upgrades as necessary. Perform tasks for Backup and Recovery Management including High Availability
• Install and configure storage arrays and allocate SAN and NAS storage to different OS platforms and/or administer ZFS storage pools, file system, snapshots, and clones.
• Experience in Linux hypervisors KVM, XEN.
• Good knowledge on open stack administration and service operations.
• Good experience on veritas net backup software.
• Strong experience in public clouds AWS, AZURE, GCP.
• Solid knowledge of protocols such as DNS, HTTP, LDAP, SMTP and SNM
• Good understanding on AWS outposts hybrid environment.
• Good experience in the windows server and OS side.
• Experience in Monitoring platforms like Zabbix, ELK, Grafana.
• Troubleshoot Hardware Issues, Installation, and testing of computer peripherals
• Perform/Implement Security Monitoring and audit to identify any possible security intrusions or breaches.
• Collaborate with other teams and team members to develop automation strategies and deployment processes

Qualifications:

1. Degree in Computer Science, Computer Engineer, or other related courses
2. Minimum of 10 years’ experience
3. In-depth knowledge of Linux: RedHat, CentOS, Debian, etc.
4. In-depth knowledge in Linux virtualization
5. good knowledge of UNIX and LINUX Operating systems, file systems, storage environments, and networking protocols
6. Knowledgeable in Unix, Linux, Unix, Linux shell scripting. Practical scripting skills in Shell, PERL, Batch, Python
7. good DBA skills MySQL, MariaDB, PostgreSQL, Timescale, MongoDB
8. Basic Messaging and Collaboration concepts and tools, Server Virtualization
9. Practical understanding of Networking - routing, subnets, UDP, TCP, IP, and VLANs
10. Backup and Storage Management (Netback up mandatory).
11. Familiar and can identify or interpret crash dump files and core dump files and monitor System Logs