11+ Utilities Jobs in Chennai | Utilities Job openings in Chennai

Skills:
Enterprise Asset Management/ Work Management
IBM Maximo,SAP IAM,Infor EAM

Job Responsibilities will include:

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- Overall experience of 5-10 years

- Strong Functional knowledge in Enterprise Asset Management/ Work Management

- Hands on experience in IBM Maximo or SAP IAM or Infor EAM and its integration with supporting systems

- Experience in Utilities industry clients (Electricity or Gas or Water)

- Experience in Supply Chain Domain will be a plus

- Full time regular MBA

- A bachelor's degree in Engineering

ROLES AND RESPONSIBILITIES:

As Manager-Business Development, you will be responsible for business development in India Market. Will be responsible for identifying new opportunities to expand markets and drive business growth while also enabling increased revenue from current accounts. Build and maintain strategic partnerships and nurture relationships with influencers and stakeholders.

RESPONSIBILITIES & DUTIES:

• Responsible for sales in the Indian market for our SaaS Product.
• Lead outbound and direct sales efforts by proactively engaging with potential clients, building strong relationships, and successfully closing deals. This is a field-intensive role that requires frequent client visits, lead generation, and hands-on market engagement to drive sales growth.
• Independently managing deal size of INR 50 L ARR in the past
• Coordinating with Pre-sales team on getting Demos / POCs conducted.
• Proposal preparation, conducting commercial negotiations leading to closure and contracting.
• Collecting payments from customers and manage customer relationship.
• Strong communication skills with ability to sell and interact with CXO profiles of companies.

IDEAL CANDIDATE:

• Overall, 6-8 years of experience in outbound and direct sales preferably in the garment industry.
• Minimum 4-5 years of experience in selling ERP solutions.
• Solid business development & acquisition experience
• Strong relationship and account management skills
• Proficient in using CRM tools and data analysis to drive sales performance
• Proactive and solutions-oriented with the ability to work independently
• Excellent interpersonal skills and ability to communicate with stakeholders at all levels - internally as well as externally
• Excellent communication, negotiation, and presentation skills
• Strong business acumen and ability to understand customer needs

Roles & Responsibilities:

Handle inbound and outbound calls to address customer queries and provide resolutions.

Communicate effectively with customers in a polite and professional manner.

Manage customer interactions in a timely and efficient manner, ensuring high customer

satisfaction.

Maintain accurate records of customer conversations and follow up where necessary.

Collaborate with the team to meet individual and team performance metrics.

Adapt to dynamic customer requirements and handle escalations where required.

Qualifications & Skills:

Education: Minimum qualification: 12th Pass.

Languages Required: Proficiency in Malayalam, Telugu, Tamil, and English (mandatory).

Strong verbal communication skills and an ability to build rapport with customers.

Prior experience in a voice process or customer service is a plus but not mandatory.

Good listening and problem-solving skills.

Basic computer knowledge to manage call-related data and CRM tools.

We are looking for a Senior Data Engineer with strong expertise in GCP, Databricks, and Airflow to design and implement a GCP Cloud Native Data Processing Framework. The ideal candidate will work on building scalable data pipelines and help migrate existing workloads to a modern framework.

• Shift: 2 PM 11 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or those with a notice period of up to 30 days

Key Responsibilities:

• Design and implement a GCP Native Data Processing Framework leveraging Spark and GCP Cloud Services.
• Develop and maintain data pipelines using Databricks and Airflow for transforming Raw → Silver → Gold data layers.
• Ensure data integrity, consistency, and availability across all systems.
• Collaborate with data engineers, analysts, and stakeholders to optimize performance.
• Document standards and best practices for data engineering workflows.

Required Experience:

• 7-8 years of experience in data engineering, architecture, and pipeline development.
• Strong knowledge of GCP, Databricks, PySpark, and BigQuery.
• Experience with Orchestration tools like Airflow, Dagster, or GCP equivalents.
• Understanding of Data Lake table formats (Delta, Iceberg, etc.).
• Proficiency in Python for scripting and automation.
• Strong problem-solving skills and collaborative mindset.

⚠️ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

• Bachelor's degree in computer science or equivalent experience
• 2+ years of experience in software engineering.
• Experience with building B2B and consumer quality products, enabling business capability and objectives through technology.
• Strong cloud infrastructure experience with AWS.
• Experience in engineering practices such as code refactoring, design patterns, design driven development, continuous integration, building highly scalable applications and application security.
• Experience working with a development team using Agile methodology.
• Experience in container technologies like Docker/Kubernetes a plus.
• Hands-on skills working with SQL and No-SQL databases
  Broad experience across the following application development technologies and in depth skills with at least one: NodeJS, React, GraphQL,Python, R, Java/C++ and/or other open source application development frameworks.
• Ability to strategically balance test coverage, documentation and timelines (API/ Unit testing).
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.
• Able to work under competing priorities, manage expectations effectively and support the team under pressure; distinct user focus and quality mindset.

Primary Skills: Database Systems (SQL), Python Flask/Fast API/Django frameworks specifically
Requirements:

• Highly proficient in fundamentals of Python web development frameworks like Flask, Django and Fast API
• Demonstrated experience in developing APIs using Python frameworks
• Should have deep knowledge in PostgreSQL, MS SQL Server and other SQL based Databases

Front-end Developer with a passion for sustainability

• Git
• Angular
• Bootstrap, Material-UI, TailwindCSS or any other widely-adapted CSS library/framework
• Sass or other css preprocessors
• NgRx or other state management libraries
• StorybookJS
• Jest or other Javascript unit testing libraries

• Solid understanding and experience
• Cross-browser compatibility
• Front End optimisation
• Frontend architecture
• REST APIs and integrations
• Object Oriented Programming concepts
• Design Patterns
• TDD (Test Driven Development)
• Agile

• Any cloud provider services (AWS/Azure/Google Cloud etc.,)
• Docker or any other virtualization technology
• NodeJS (ExpressJS, LoopbackJS, HapiJS etc.,)
• Interface design tools like XD, Figma
• Developing REST APIs

• Java
• Springboot
• REST API
• Microservices

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

• Web :  Angular2+ (min 3 years), HTML5, NodeJS, Yarn
• Programming: Typescript
• IDE Tools : Visual Studio Code,
• Source Control – Good knowledge on SVN/Git
• Good to have: Java8, SpringBoot, JPA, Oracle PL SQL, SOAP, Restful, WSDL, ETL tools like Talend
  
  Role Summary:
• Software Development with best coding practices
• Proper co-ordination with other team members for maintaining source code versioning
• Complete and provide status of work to Team Lead/Project Manager regularly
• Create and maintain proper documents related to development work
• Collaborate with other team to create quicker issue resolution to achieve high customer satisfaction
• Flexible to learn other technologies and work across teams
• Clear understanding of requirement from functional team
• Involvement in analysis, design, coding, SIT, UAT and support