data scientist

data analyst

data analyst l4

global data scientist

product data analyst

data engineer

SignaTech

<div>
 
 About Us
 
 
 
 Signa Tech is a rapidly growing company with a desire to transform the way people work by leveraging the power of IT. Our goal is to help companies simplify, streamline, make informed decisions, and breathe.
 
 
 
 Why you need to join us?
 
 
 
 At Signa Tech, we are not just looking for employees; we are seeking talented individuals who want to be part of a winning team. We are on the lookout for a passionate Data Engineer to join our exceptional team and play a pivotal role in our data-driven journey.
 
 
 
 About The Role
 
 
 
 We are seeking a skilled and motivated Data Engineer with around 3 years of experience in building and maintaining efficient data pipelines and ETL processes. The candidate should have a solid foundation in data concepts, SQL, and ETL development, with hands-on experience in modern data tools. Knowledge of Power BI and Alteryx will be considered an added advantage.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources.
 </li>
 <li>
 Develop and optimize SQL queries, stored procedures, and data models for analytics and reporting.
 </li>
 <li>
 Troubleshoot and optimize existing data workflows for performance and reliability.
 </li>
 <li>
 Support data visualization and reporting needs using tools like Power BI.
 </li>
 <li>
 Ensure data security, compliance, and governance best practices.
 </li>
 <li>
 Collaborate with cross-functional teams to define and implement data architecture and data flow processes.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 3+ years of experience in data engineering or related roles.
 </li>
 <li>
 Strong understanding of data warehousing concepts, ETL pipelines, and data modeling.
 </li>
 <li>
 Proficiency in SQL (T-SQL, PL/SQL, or similar).
 </li>
 <li>
 Hands-on experience with ETL tools or frameworks (e.g., SSIS, Talend, ADF, DBT, Prefect, or Airflow).
 </li>
 <li>
 Experience working with relational databases (SQL Server, PostgreSQL, MySQL, etc.).
 </li>
 <li>
 Familiarity with data visualization tools like Power BI (preferred).
 </li>
 <li>
 Basic understanding of Python or other scripting languages for data processing is a plus.
 </li>
 <li>
 Good analytical thinking, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Exposure to version control systems (Git) and CI/CD pipelines.
 </li>
 <li>
 Understanding of data governance, metadata management, and security best practices.
 
 
 </li>
 </ul>
 
 Perks:
 
 SignaTech provides individuals with a competitive salary, a full range of benefits, chances for professional advancement, and a dynamic work environment that values creativity and teamwork.
 
 
 
 Join us and be part of something great at SignaTech
 
 
 
 Skills: reporting,client delivery,data,power bi,sql,etl,concepts,pipelines,data engineering,collaboration,security,data analysis,architects,data transformation,data visualization
</div>

Data Engineer

Chryselys

<div>
 
 Roles &amp; Responsibilities
 
 
 
 
 Job Description &ndash; Sr. Data Engineer
 
 
 
 <ul>
 <li>
 We are looking for a Senior Data Engineering who will be majorly responsible for designing, building and maintaining ETL/ ELT pipelines.
 </li>
 <li>
 Integration of data from multiple sources or vendors to provide the holistic insights from data.
 </li>
 <li>
 You are expected to build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms etc.
 </li>
 <li>
 Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues.
 </li>
 <li>
 Should have experience in client interaction.
 </li>
 <li>
 Experience in mentoring juniors and providing required guidance.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 Extensive hands on experience in Python, Pyspark, SQL, Dataiku.
 </li>
 <li>
 Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database.
 </li>
 <li>
 Working knowledge in Databricks, Redshift, ADF etc.
 </li>
 <li>
 Hands-on experience in cloud services like Azure, AWS- S3, Glue, Lambda, CloudWatch, Athena.
 </li>
 <li>
 Sound knowledge in end-to-end Data management, Data ops, quality and data governance.
 </li>
 <li>
 Familiar with SFDC, Waterfall/ Agile methodology.
 </li>
 <li>
 Strong domain knowledge in Pharma domain/ life sciences commercial data operations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s Engineering/ MCA or equivalent degree.
 </li>
 <li>
 5-7 years of relevant industry experience as Data Engineer.
 </li>
 <li>
 Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.
 </li>
 <li>
 High motivation, good work ethic, maturity, self-organized and personal initiative.
 </li>
 <li>
 Ability to work collaboratively and providing the support to the team.
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 
 
 </li>
 </ul>
 
 Location
 
 
 
 <ul>
 <li>
 Preferably Hyderabad/ Chennai, India
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Chryselys is a US based Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
 
 
 Chryselys was founded in the heart of US Silicon Valley in November 2019 with the vision of delivering high-value business consulting, solutions, and services to clients in the healthcare and life sciences space. We are trusted partners for organizations that seek to achieve high-impact transformations and reach their higher-purpose mission.
 
 
 Chryselys India supports our global clients to achieve high-impact transformations and reach their higher-purpose mission.
 
 
 Please visit
 
 
 https://www.linkedin.com/company/chryselys/mycompany/
 
 
 https://chryselys.com/ for more details.
</div>

Senior Associate

<div>
 
 Avant de postuler &agrave; un emploi, s&eacute;lectionnez votre langue de pr&eacute;f&eacute;rence parmi les options disponibles en haut &agrave; droite de cette page.
 
 
 
 D&eacute;couvrez votre prochaine opportunit&eacute; au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunit&eacute;s innovantes, d&eacute;couvrez notre culture enrichissante et travaillez avec des &eacute;quipes talentueuses qui vous poussent &agrave; vous d&eacute;velopper chaque jour. Nous savons ce qu&rsquo;il faut faire pour diriger UPS vers l'avenir : des personnes passionn&eacute;es dot&eacute;es d&rsquo;une combinaison unique de comp&eacute;tences. Si vous avez les qualit&eacute;s, de la motivation, de l'autonomie ou le leadership pour diriger des &eacute;quipes, il existe des postes adapt&eacute;s &agrave; vos aspirations et &agrave; vos comp&eacute;tences d'aujourd'hui et de demain.
 
 
 
 Fiche De Poste
 
 
 
 
 DATA SCIENTIST
 
 
 
 
 Job Summary
 
 
 
 This
 
 Data Scientist
 
 creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Defines key data sources from UPS and external sources to deliver models.
 </li>
 <li>
 Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
 </li>
 <li>
 For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
 </li>
 <li>
 Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
 </li>
 <li>
 Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
 </li>
 <li>
 Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
 </li>
 <li>
 Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
 </li>
 <li>
 Presents operationalized analytic findings and provides recommendations.
 </li>
 <li>
 Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
 </li>
 <li>
 Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Expertise in R, SQL, Python and/or any other high-level languages.
 </li>
 <li>
 Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
 </li>
 <li>
 Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
 </li>
 <li>
 Experience applying models from small to medium scaled problems.
 </li>
 <li>
 Strong analytical skills and attention to detail.
 </li>
 <li>
 Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
 </li>
 <li>
 Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
 </li>
 <li>
 Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
 </li>
 <li>
 Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
 </li>
 <li>
 Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
 </li>
 <li>
 Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
 </li>
 <li>
 Familiarity with Java or C++ is a plus.
 </li>
 <li>
 Solid oral and written communication skills, especially around analytical concepts and methods.
 </li>
 <li>
 Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
 </li>
 <li>
 Master&rsquo;s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
 
 
 </li>
 </ul>
 
 Last Day Posted - 2/25/2024
 
 
 
 
 Type De Contrat
 
 
 
 en CDI
 
 
 
 Chez UPS, &eacute;galit&eacute; des chances, traitement &eacute;quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attach&eacute;s.
 
</div>

Data Scientist

Cognizant

<div>
 
 Title: Data Scientist
 
 
 
 
 Location: Chennai
 
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Be a hands on problem solver with consultative approach, who can apply Machine Learning &amp; Deep Learning algorithms to solve business challenges
 </li>
 <ul>
 <li>
 Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
 </li>
 <li>
 Improve Model accuracy to deliver greater business impact
 </li>
 <li>
 Estimate business impact due to deployment of model
 </li>
 </ul>
 <li>
 Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
 </li>
 <li>
 Working with tools and scripts for sufficiently pre-processing the data &amp; feature engineering for model development &ndash; Python / R / SQL / Cloud data pipelines
 </li>
 <li>
 Design , develop &amp; deploy Deep learning models using Tensorflow / Pytorch
 </li>
 <li>
 Experience in using Deep learning models with text, speech, image and video data
 </li>
 <ul>
 <li>
 Design &amp; Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
 </li>
 <li>
 Design and develop Image recognition &amp; video analysis models using Deep learning algorithms and open source tools like OpenCV
 </li>
 <li>
 Knowledge of State of the art Deep learning algorithms
 </li>
 </ul>
 <li>
 Optimize and tune Deep Learnings model for best possible accuracy
 </li>
 <li>
 Use visualization tools/modules to be able to explore and analyze outcomes &amp; for Model validation eg: using Power BI / Tableau
 </li>
 <li>
 Work with application teams, in deploying models on cloud as a service or on-prem
 </li>
 <ul>
 <li>
 Deployment of models in Test / Control framework for tracking
 </li>
 <li>
 Build CI/CD pipelines for ML model deployment
 </li>
 </ul>
 <li>
 Integrating AI&amp;ML models with other applications using REST APIs and other connector technologies
 </li>
 <li>
 Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
 
 </li>
 </ul>
 
 Technology/Subject Matter Expertise
 
 
 
 <ul>
 <li>
 Sufficient expertise in machine learning, mathematical and statistical sciences
 </li>
 <li>
 Use of versioning &amp; Collaborative tools like Git / Github
 </li>
 <li>
 Good understanding of landscape of AI solutions &ndash; cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
 </li>
 <li>
 Develop prototype level ideas into a solution that can scale to industrial grade strength
 </li>
 <li>
 Ability to quantify &amp; estimate the impact of ML models
 
 
 </li>
 </ul>
 
 Soft Skills Profile
 
 
 
 <ul>
 <li>
 Curiosity to think in fresh and unique ways with the intent of breaking new ground.
 </li>
 <li>
 Must have the ability to share, explain and &ldquo;sell&rdquo; their thoughts, processes, ideas and opinions, even outside their own span of control
 </li>
 <li>
 Ability to think ahead, and anticipate the needs for solving the problem will be important
 </li>
 <li>
 Ability to communicate key messages effectively, and articulate strong opinions in large forums
 
 
 </li>
 </ul>
 
 Desirable Experience
 
 
 
 
 
 
 
 <ul>
 <li>
 Keen contributor to open source communities, and communities like Kaggle
 </li>
 <li>
 Ability to process Huge amount of Data using Pyspark/Hadoop
 </li>
 <li>
 Development &amp; Application of Reinforcement Learning
 </li>
 <li>
 Knowledge of Optimization/Genetic Algorithms
 </li>
 <li>
 Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
 </li>
 <li>
 Optimize and tune deep learning model for best possible accuracy
 </li>
 <li>
 Understanding of stream data processing, RPA, edge computing, AR/VR etc
 </li>
 <li>
 Appreciation of digital ethics, data privacy will be important
 </li>
 <li>
 Experience of working with AI &amp; Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
 </li>
 <li>
 Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
 </li>
 </ul>
</div>

Smart Working

<div>
 
 
 About Smart Working
 
 
 
 
 
 
 At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn&rsquo;t just another remote opportunity - it&rsquo;s about finding where you truly belong, no matter where you are. From day one, you&rsquo;re welcomed into a genuine community that values your growth and well-being.
 
 
 
 
 
 Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you&rsquo;re empowered to grow personally and professionally.
 
 
 Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We&rsquo;re looking for a
 
 QA Engineer
 
 to join a collaborative product team responsible for maintaining and improving a large-scale HR and Payroll platform.
 
 
 &nbsp;You&rsquo;ll play a key role in ensuring product quality by owning test strategy, designing and executing comprehensive test plans, and working closely with developers and product teams to deliver stable, high-performing releases.
 
 
 &nbsp;This is a long-term opportunity for someone who takes pride in precision, structure, and technical curiosity &mdash; ensuring every release meets the highest standards of reliability.
 
 
 
 
 
 
 Responsibilities
 
 <ul>
 <li>
 Test Strategy &amp; Planning &ndash; Define and own test strategy and system documentation; derive detailed test cases from user stories, acceptance criteria, and system architecture
 </li>
 <li>
 Testing Execution &ndash; Plan and execute functional, regression, exploratory, cross-browser, and mobile tests across the product suite, including web portals, APIs, and mobile applications
 </li>
 <li>
 API Testing &ndash; Conduct API validation and integration testing to ensure consistent and reliable backend communication
 </li>
 <li>
 Data Validation &ndash; Use SQL to verify data integrity and validate backend transactions
 </li>
 <li>
 Defect Management &ndash; Log, triage, and track issues using GitHub (or equivalent tools), verify fixes, and contribute to release readiness
 </li>
 <li>
 Cross-Team Collaboration &ndash; Work closely with developers, product managers, and UX designers to ensure quality throughout the development lifecycle
 </li>
 <li>
 Continuous Improvement &ndash; Contribute to automation opportunities, maintain test data, and help optimise QA processes within the pod
 
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 3+ years of professional experience in manual and functional testing across web and API layers
 </li>
 <li>
 Proven hands-on experience with API testing tools and methodologies (e.g., Postman, Swagger, or similar)
 </li>
 <li>
 SQL (3+ years) &ndash; strong ability to query databases for test validation and data integrity checks
 </li>
 <li>
 Experience with test case design, regression testing, and defect lifecycle management
 </li>
 <li>
 Knowledge of cross-browser testing and mobile validation for responsive applications
 </li>
 <li>
 Solid understanding of SDLC, Agile, and QA best practices
 </li>
 <li>
 Strong communication, documentation, and analytical skills with a high attention to detail
 
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Exposure to automated testing frameworks (e.g., Selenium, Cypress, or Playwright)
 </li>
 <li>
 Experience working in agile, product-focused teams
 </li>
 <li>
 Familiarity with CI/CD integration and continuous testing pipelines
 </li>
 <li>
 Experience testing integrations with collaboration tools (e.g., Teams or Zoom)
 
 </li>
 </ul>
 
 
 
 
 Benefits
 
 <ul>
 <li>
 Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
 </li>
 <li>
 No Weekend Work: Real work-life balance, not just words
 </li>
 <li>
 Day 1 Benefits: Laptop and full medical insurance provided
 </li>
 <li>
 Support That Matters:Mentorship, community, and forums where ideas are shared
 </li>
 <li>
 True Belonging: A long-term career where your contributions are valued
 
 </li>
 </ul>
 
 
 
 
 
 
 At Smart Working, you&rsquo;ll never be just another remote hire.
 
 
 
 
 
 Be a Smart Worker &mdash; valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.
 
 
 
 
 
 If that sounds like your kind of place, we&rsquo;d love to hear your story.&nbsp;
 
</div>

QA Engineer (Remote, Full-Time) [HRPS]

HCLTech

<div>
 
 HCLTech # Mechanical WalkIN for # Hydraulics Installation Design ,#Mechanical Design Engineer (RPD) AND Engine Installation and Cooling with # Creo &ndash; on 8th November in #Chennai
 
 
 
 
 
 📅#DriveDate:8th November Saturday (9AM-2PM)
 
 
 
 
 
 ContactPerson: Laveena Deenadayalan
 
 
 
 
 
 📍VenueLocation:Chennai
 
 
 
 
 
 HCLTech Elcot Sez,
 
 
 New Cafeteria 2nd Floor
 
 
 602/3, 138, Medavakkam High Road,
 
 
 Sholinganallur,hashtag#Chennai-600119
 
 
 📍Job Location: Chennai
 
 
 
 
 
 
 # Position:
 
 
 
 
 
 
 # Hydraulics Installation Design
 
 
 #Mechanical Design (RPD)
 
 
 # Mechanical Design (Engine Installation and Cooling)
 
 
 
 
 
 👤Year of Experience:
 
 
 # Lead Position: B.E. Mechanical / Production Engineering with 6 to 8 Years of experience
 
 
 # Team member: B.E. Mechanical / Production Engineering with 3 to 5 years of experience
 
 
 
 
 
 Skill: # Creo,#Teamcenter Engineering ,# Fluid Lines, #Creo Simulate #Use of Engineering Standards, Specifications, REDI Design Guides
 
 
 
 
 
 # Job Description
 
 
 
 
 
 1) Hydraulics Installation Design
 
 
 Understanding the hydraulics schematics and integrate Hydraulic components as per schematics.
 
 
 Should have through knowledge in selecting hose, tubes, adaptors and fittings to meet the system requirements.
 
 
 Perform engineering calculations and finalise the hose and tubes sizes.
 
 
 Design and routing of fluid systems (tubes, bulk hoses, molded hoses etc)
 
 
 Design the supporting brackets for hydraulics components placement.
 
 
 Perform FEA and dynamic hoses analysis.
 
 
 
 
 
 2) Mechanical Design Engineer (RPD)
 
 
 &middot; Kit Design: Creating serviceable BOMs using Creo.
 
 
 &middot; Aftermarket Design: Concept development with feasibility analysis.
 
 
 &middot; Production Support: Troubleshooting and resolving design issues.
 
 
 &middot; Simulation &amp; Analysis: FEA, bolted joint, and swivel analysis using Creo Simulate.
 
 
 &middot; Technical Skills: Proficiency in Creo 7/10, Teamcenter, GD&amp;T, and various manufacturing processes.
 
 
 
 
 
 3) Mechanical Design Engineer (Engine Installation and Cooling)
 
 
 &middot; Drive New Product Introduction (NPI) and Continuous Product Improvement (CPI) initiatives.
 
 
 &middot; Expertise in Radiators mounting, Engine cooling components and engine mounting
 
 
 &middot; Expertise in Fuel Lines, Hose routing, and mounting of Air intake systems
 
 
 &middot; Sound Experience in Exhaust systems mounting and Emission norms
 
 
 &middot; Hands on experience in Machine packaging / integration
 
 
 &middot; Conduct simulations (FEA/CFD), testing, and validation of designs.
 
 
 &middot; Implement Built-In Quality (BIQ)
 
 
 
 
 
 Contact Person : Laveena Deenadayalan
 
 
 
 
 
 Interested candidates can share their CV on below mail id laveena.deenadayalan@hcltech.com with Below details
 
 
 
 
 
 &middot; Current Company
 
 
 &middot; Current CTC
 
 
 &middot; Expected CTC
 
 
 &middot; Notice Period
 
 
 &middot; Location
 
</div>

Mechanical Design Engineer

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Engineer - Manufacturing Engineering
 
 
 We are seeking an experienced Engineer - Manufacturing Engineering to join our team. The ideal candidate will have a strong background in Utilities, ETP (Effluent Treatment Plant), STP (Sewage Treatment Plant), cooling tower, and generator operations. The selected candidate will be responsible for providing technical support and ensuring the smooth operation of our manufacturing facilities.
 
 
 Location
 
 
 Tiruvallur
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement efficient manufacturing processes and systems
 </li>
 <li>
 Ensure the safe and reliable operation of Utilities, ETP, STP, cooling tower, and generator systems
 </li>
 <li>
 Conduct regular maintenance and repairs of equipment to minimize downtime and optimize performance
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement process improvements
 </li>
 <li>
 Develop and maintain technical documentation, including manuals, procedures, and reports
 </li>
 <li>
 Provide technical support and training to production staff on equipment operation and maintenance
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related field
 </li>
 <li>
 1-3 years of experience in manufacturing engineering or a related field
 </li>
 <li>
 Strong knowledge of Utilities, ETP, STP, cooling tower, and generator operations
 </li>
 <li>
 Excellent problem-solving and analytical skills
 </li>
 <li>
 Ability to work in a fast-paced environment and prioritize multiple tasks
 </li>
 <li>
 Strong communication and interpersonal skills
 
 
 </li>
 </ul>
 
 Skills Required
 
 
 
 RoleEngineer - (Manufacturing Engineering)
 
 
 Industry TypeAutomotive/ Ancillaries
 
 
 Functional AreaEngineering and Maintenance
 
 
 Required Education Graduation
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 COLLING TOWER
 </li>
 <li>
 ETP
 </li>
 <li>
 GENERATOR
 </li>
 <li>
 STP
 </li>
 <li>
 SUPPORT
 </li>
 <li>
 UTILITIES
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1387/2025
 
 
 Recruiter NamePriya Srinivasan
</div>

Engineer - (Manufacturing Engineering) - GO/JC/1387/2025

Explore 54+ Data engineer in Chennai this November. Find roles across top companies and apply now to boost your career.

54 data engineer jobs IN Chennai

Data Engineer

Senior Associate

Data Scientist

Data Scientist

QA Engineer (Remote, Full-Time) [HRPS]

Mechanical Design Engineer

Engineer - (Manufacturing Engineering) - GO/JC/1387/2025