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- Configure assets as per their compliance applications.
- Does Hardware and software related troubleshooting.
- Addressing Application related concerns via a remote tool
- Address escalation and priority concerns (VIP users)
- Trouble shooting on all kind of desktop calls.
- Configuring network services such as LAN. Win proxy & DNS services.
- Installation & Troubleshooting of printer calls.
- Configuration of MS Outlook, Outlook Express & solving related problems on user systems.
- Installing & configuring different Windows based Application Software’s.
- Configuring and troubleshooting for RDP.
- Installing & configuring client system to the domain.
- Installing, Configuring, Monitoring & troubleshooting network printers & solving related problems on user systems.
- User profile management.
- Remote configuring enables the Remote Desktop on the host PC and add/enable Remote Desktop users.
Required Qualifications:
• OOPS - In-depth understanding of Object Oriented Programming principles
• Solid - In-depth knowledge and practical knowledge of applying SOLID design principles
• Architectural Patterns - In-depth understanding of design patterns and have experience in designing and building complex architecture solutions
• React + Typescript - Extensive hands-on experience in React + Typescript, building high-performance complex frontends
• Unit testing - Ability to write Unit Testing using Jest framework
• Dotnet core webapi - Extensive hands-on experience in writing WebAPIs using dotnet core. Should have advanced knowledge on middlewares, auth flow, etc.
• C# - Solid knowledge on advanced C# language features like Lambda functions, Generics, etc.
• Entity Framework - Solid knowledge on Entity framework database first and code first approach
• Unit testing - Ability to write Unit Testing using popular mock frameworks and XUnit framework
• SQL - Advanced - Extensive hands-on experience in Microsoft SQL (DDL, DML, Aggregates, Functions, Stored proc, etc)
• Query Performance Tuning - Ability to understand query plans and tune compelx queries to improve performance
• Core services - Advanced knowledge and hands-on in building applications hosted in AWS using ECS containers, API Gateway, Lambda, Postgres/DynamoDb
• IAC - Hands-on experience in writing Teraform Scripting - CI/CD, Github pipelines
The ESAB Project Enterprise – SAP S/4HANA Technical & Integration Lead will be a seasoned SAP S/4HANA champion, fluent in the language of integrations, technical complexities and automated testing. You will thrive in the dynamic world of connecting systems and orchestrating flawless data flow. In this role, you will be the linchpin between our core SAP S/4HANA system and the vast ecosystem of connected applications and external data sources. You will lead a team of technical specialists, defining integrations, implementing solutions, establishing automated testing, and ensuring seamless data exchange across the organization.
What you will do
- Lead the design, development, and implementation of complex integrations between SAP S/4HANA and other enterprise systems, cloud applications, and data sources.
- Mastermind the technical architecture of integrated solutions, leveraging SAP Cloud Integration (CPI), API Management, and other relevant technologies.
- Evaluate and implement industry best practices for secure and efficient data exchange using various integration patterns (e.g., API, middleware, cloud-based integrations).
- Work closely with business stakeholders and developers to understand integration requirements and translate them into technical solutions.
- Manage and prioritize integration projects, ensuring timely delivery within budget and scope.
- Monitor and troubleshoot integration performance, identifying and resolving issues proactively.
- Establish test automation tools to optimize testing efforts and improve efficiency.
- Stay up-to-date on the latest SAP S/4HANA integration technologies and best practices, continuously upskilling yourself and your team.
- Lead knowledge sharing and training initiatives to enhance the team's expertise in SAP S/4HANA and integrations.
What we are looking for
- 7+ years of experience working with SAP S/4HANA and ECC.
- Proven track record of successfully leading and delivering complex S/4HANA integration projects.
- In-depth understanding of integration technologies like SAP Cloud Integration (CPI), API Management, middleware, and data migration tools.
- Solid knowledge of SAP ABAP, SAP Basis, and SAP Fiori architecture.
- Experience with cloud-based integration platforms and cloud-native technologies.
- Experience with test automation tools like Tricentis.
- Strong analytical and problem-solving skills.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Leadership qualities and the ability to motivate and mentor others.
Education Requirements
· Not applicable
Preferred
· Understanding of manufacturing industry
Competencies & Behaviors Needed
· Exceptional communicator at all employee levels including senior executives.
· Strong proponent of ESAB’s values and behaviors and EBX principles.
· Drives continuous improvement.
· Effective at building relationships and trust.
· Strong collaboration skills across functions and business platforms.
· Negotiates with associates with a respectful give-and-take approach, where decisions are shared.
· Comfortable working in a global matrix organization.
· Results-oriented with the ability to make decisions and to follow through on programs and developed policies.
· Bias for action; a sense of urgency; initiative-taker; moves with speed.
· Focus on delivering results and continuous improvement.
· Manages workload efficiently and effectively.
· Agile mind; quick on one’s feet.
· Prioritizes for maximum impact.
· Good at synthesizing data and distilling key points.
· Can dive deep into detail to support root cause analysis yet understands the big picture.
· Insightful, deductive reasoner, fact-based analytical person.
· Influencing and driving performance without authority.
Additional Key Attributes
· Integrity, credibility, and character with demonstrated ethical behaviors.
· A collaborator and leader with self-confidence, humility, and consultative skills to positively influence the business.
· A tenacious, operationally minded individual with a strong work ethic.
1. Developing new user-facing features using React.js
2. Ability to understand business requirements and translate them into technical requirements
3. Optimizing components for maximum performance across a vast array of web-capable devices and browsers
4. Build reusable code and libraries for future use
5. Work with backend engineers to build features and ship experiments
Skills Required :
1. Strong proficiency in JavaScript, ReactJS, Redux, redux-saga and ES6.
2. Konwledge with common front-end development tools such as Babel, Webpack, NPM, etc.
3. Familiarity with code versioning tools such as Git
4. Familiarity with RESTful APIs and Express js.
5. Ability to work in a fast-paced and deadline-oriented environment.
- Managing all finance and accounting operations.
- Coordinating and directing the preparation of the budget and financial forecasts and report variances.
- Preparing and publishing timely monthly financial statements.
- Coordinate and direct the preparation of the budget and financial forecasts and report variances.
- Prepare and publish timely monthly financial statements.
- Coordinate the preparation of regulatory reporting.
- Research technical accounting issues for compliance.
- Support month-end and year-end close process.
- Ensure quality control over financial transactions and financial reporting.
- Manage and comply with local, state, and federal government reporting requirements and tax filings.
- Develop and document business processes and accounting policies to maintain and strengthen internal controls.
- Additional controller duties as necessary.
Must Have’s:
- CA
- CPA
Role Summary
As a Data Engineer, you will be an integral part of our Data Engineering team supporting an event-driven server less data engineering pipeline on AWS cloud, responsible for assisting in the end-to-end analysis, development & maintenance of data pipelines and systems (DataOps). You will work closely with fellow data engineers & production support to ensure the availability and reliability of data for analytics and business intelligence purposes.
Requirements:
· Around 4 years of working experience in data warehousing / BI system.
· Strong hands-on experience with Snowflake AND strong programming skills in Python
· Strong hands-on SQL skills
· Knowledge with any of the cloud databases such as Snowflake,Redshift,Google BigQuery,RDS,etc.
· Knowledge on debt for cloud databases
· AWS Services such as SNS, SQS, ECS, Docker, Kinesis & Lambda functions
· Solid understanding of ETL processes, and data warehousing concepts
· Familiarity with version control systems (e.g., Git/bit bucket, etc.) and collaborative development practices in an agile framework
· Experience with scrum methodologies
· Infrastructure build tools such as CFT / Terraform is a plus.
· Knowledge on Denodo, data cataloguing tools & data quality mechanisms is a plus.
· Strong team player with good communication skills.
Overview Optisol Business Solutions
OptiSol was named on this year's Best Companies to Work for list by Great place to work. We are a team of about 500+ Agile employees with a development center in India and global offices in the US, UK (United Kingdom), Australia, Ireland, Sweden, and Dubai. 16+ years of joyful journey and we have built about 500+ digital solutions. We have 200+ happy and satisfied clients across 24 countries.
Benefits, working with Optisol
· Great Learning & Development program
· Flextime, Work-at-Home & Hybrid Options
· A knowledgeable, high-achieving, experienced & fun team.
· Spot Awards & Recognition.
· The chance to be a part of next success story.
· A competitive base salary.
More Than Just a Job, We Offer an Opportunity To Grow. Are you the one, who looks out to Build your Future & Build your Dream? We have the Job for you, to make your dream comes true.
Purpose
· The Analytics and BI Head will collaborate closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions.
· The candidate will ensure data accuracy and consistent reporting by designing optimal processes and procedures for analytical managers and employees to create and follow.
· The candidate will manage the processes and people responsible for correct data reporting, modeling, and analysis.
Key Responsibilities
Responsibilities will include but will not be restricted to:
· Lead cross-functional projects involving advanced data modeling and analysis techniques and review insights that will guide strategic decisions and uncover optimization opportunities.
· Managing project budgets and financials, including forecasting, monitoring, and reporting.
· Providing clear and concise instructions to different teams to ensure quality delivery of analysis.
· Maintain dashboards and performance metrics support that support key business decisions.
· Planning and executing strategies for completing projects on time.
· Determining the need for training and talent development.
· Recruit, train, develop and supervise managerial level employees.
· Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.
· Oversee the deliverable pipeline, including rationalization, de-duplication, and prioritization.
· Anticipate future demands of initiatives related to people, technology, budget and business across the departments and review solutions to meet these needs.
· Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
Technical Requirements (what)
· Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques
· Work Experience of 20+ years in analytics inclusive of 5+ years of experience of leading a team. Candidates from Insurance Industry are preferred.
· Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
· Strong problem solving, quantitative and analytical abilities.
· Strong ability to plan and manage numerous processes, people, and projects simultaneously.
· The right candidate will also be proficient and experienced with the following tools/programs:
§ Experience with working on big data environments: Teradata, Aster, Hadoop.
§ Experience with testing tools such as Adobe Test & Target.
§ Experience with data visualization tools: Tableau, Raw, chart.js.
§ Experience with Adobe Analytics and other analytics tools.
Desired Personal Qualities or Behavior
· Strong leadership qualities, ability to communicate the vision crisply and drive collaboration and innovation.
· Must be an initiative-taker.
· Strong diligence, organizational skills, and the ability to manage multiple projects
· Strong written and verbal communication skills, able to communicate effectively and in a professional manner with all levels of the company and outside vendors.
· Ability to work in a diverse team environment and effectively support the demanding needs of the company.
· Ability to work under pressure, meet deadlines with shifting priorities.
Job Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
- Solid background and proven experience in the tech stacks
- Strong proficiency in JavaScript
- Proficiency in HTML, CSS, JavaScript and jQuery
- Familiar with JavaScript frameworks such as jQuery, ReactJS
- Understanding and Work experience in ES6, Redux, Regex, MaterialUI and MUIdatatables is a plus
- Should be familiar with REST API’s
- Excellent communication and team handling skills
- Great attention to detail and problem-solving skills
Location: Chennai
Notice Period: Immediate joiners or less than 30 days
Compensation: 35-40 LPA
Experience : 10-18 years of total experience
Job Requirements
- Experience in core JAVA technologies
- Experience with RESTful services
- Experience with relational DBs like MySQL
- Experience working within an Agile/Scrum and CI/CD environment.
- Experience working with version control using GIT/BitBucket.
- Managed 50+ engineers.



