Job Title: Associate Data Scientist Location: Mumbai Job Type: Full-time Experience: 0-6months About the Role: We are seeking a highly motivated Associate Data Scientist with a strong passion for energy, technology, and data-driven decision-making. In this role, you will be responsible for developing and refining energy load forecasting models , analyzing customer demand patterns , and improving forecasting accuracy using advanced time series analysis and machine learning techniques . Your insights will directly support risk management, operational planning, and strategic decision-making across the company. If you thrive in a fast-paced, dynamic environment and enjoy solving complex data science challenges , we d love to hear from you! Key Responsibilities: Develop and enhance energy load forecasting models using time series forecasting , statistical modeling , and machine learning techniques . Analyze historical and real-time energy consumption data to identify trends and improve forecasting accuracy. Investigate discrepancies between forecasted and actual energy usage , providing actionable insights. Automate data pipelines and forecasting workflows to streamline processes across departments. Monitor day-over-day forecast variations and communicate key insights to stakeholders. Work closely with internal teams and external vendors to refine forecasting methodologies . Perform scenario analysis to assess seasonal patterns, anomalies, and market trends. Continuously optimize forecasting models , leveraging techniques like ARIMA, Prophet, LSTMs, and regression-based models . Qualifications & Skills: 0-6months of experience in data science, preferably in energy load forecasting , demand prediction, or a related field. Strong expertise in time series analysis , forecasting algorithms , and statistical modeling . Proficiency in Python , with experience using libraries such as pandas, NumPy, scikit-learn, statsmodels, and TensorFlow/PyTorch . Experience working with SQL and handling large datasets. Hands-on experience with forecasting models like ARIMA, SARIMA, Prophet, LSTMs, XGBoost, and random forests . Familiarity with feature engineering, anomaly detection, and seasonality analysis . Strong analytical and problem-solving skills with a data-driven mindset . Excellent communication skills, with the ability to translate technical findings into business insights . Ability to work independently and collaboratively in a fast-paced, dynamic environment . Strong attention to detail, time management, and organizational skills. Preferred Qualifications (Nice to Have): Experience working with energy market data, smart meter analytics, or grid forecasting . Knowledge of cloud platforms (AWS) for deploying forecasting models . Experience with big data technologies such as Spark or Hadoop .

We are seeking a seasoned Data Test Engineer with expertise in designing and implementing robust data quality solutions for enterprise data systems. This is a development-focused role requiring a deep understanding of data engineering, data governance, and data cataloging. As a Data Test Engineer, you will be responsible for ensuring the accuracy, consistency, and reliability of data across platforms, empowering business teams with trusted insights. Key Responsibilities: Data Quality Frameworks and Implementation: Design, implement, and maintain data quality frameworks, standards, and best practices. Develop workflows for data profiling, validation, and cleansing to enhance data accuracy, consistency, and completeness. Leverage tools and technologies to automate data quality checks and streamline processes. Data Engineering for Quality Assurance: Collaborate with data engineering teams to design and implement ETL pipelines that embed data quality validations. Write efficient Python and SQL scripts for data quality checks and monitoring. Utilize data warehousing expertise to ensure robust data storage and access standards. Data Governance and Cataloging: Define and enforce data governance principles, policies, and quality rules. Implement and manage data cataloging tools to ensure data discoverability, lineage, and metadata management. Collaborate with stakeholders to establish data stewardship and ownership protocols. Collaboration and Issue Resolution: Work with cross-functional teams, including data scientists, analysts, and business users, to align data quality requirements with business needs. Investigate and resolve data anomalies, ensuring prompt resolution of quality issues. Provide technical guidance on best practices for data quality and governance. Monitoring and Reporting: Establish and monitor data quality metrics and KPIs to track improvements and identify potential issues. Deliver insights and recommendations through dashboards and reports, fostering a culture of data excellence. Required Skills & Qualifications: Technical Proficiency: Advanced expertise in Python and SQL for data manipulation, quality checks, and automation. Strong knowledge of data warehousing concepts, ETL processes, and data pipelines. Hands-on experience with data quality tools such as Informatica Data Quality (IDQ) , Ataccama , Trifacta , or similar platforms. Familiarity with data governance frameworks, metadata management, and cataloging tools (e.g., Alation , Collibra , or similar). Cloud and Big Data Knowledge: Experience with cloud platforms such as AWS , Azure , or GCP is preferred. Exposure to tools like Databricks , Snowflake , or BigQuery is an added advantage. Analytical and Problem-Solving Skills: Ability to troubleshoot data inconsistencies and anomalies using an analytical and systematic approach. Communication and Collaboration: Strong verbal and written communication skills to interact with technical and non-technical stakeholders. Demonstrated ability to work in cross-functional teams to achieve data quality objectives. Educational Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Information Technology, or a related field. Preferred Qualifications: Certifications in data quality tools, data governance, or cloud platforms. Familiarity with machine learning or AI-powered data quality solutions is a plus. Previous experience in a data-driven, fast-paced organization. Why Join Us? Work on cutting-edge data technologies and frameworks. Collaborate with a team of experts in an innovative and supportive environment. Competitive salary, comprehensive benefits, and opportunities for career growth. Be part of an organization that values data integrity and fosters a culture of excellence. As a Data Test Engineer , your contributions will directly impact the integrity and reliability of our data ecosystem, empowering data-driven decision-making across the organization. Join us in driving excellence in data quality and governance!

Location : Mumbai Experience : 0-6months Technologies / Skills: Advanced SQL, Python and associated libraries like Pandas, Numpy etc., Pyspark , Shell scripting, Data Modelling, Big data, Hadoop, Hive, ETL pipelines. Responsibilities : Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and develop data engineering strategy. Ability to work with business owners to define key business requirements and convert to user stories with required technical specifications. Communicate results and business impacts of insight initiatives to key stakeholders to collaboratively solve business problems. Working closely with the overall Enterprise Data & Analytics Architect and Engineering practice leads to ensure adherence with the best practices and design principles. Assures quality, security and compliance requirements are met for supported area. Design and create fault-tolerance data pipelines running on cluster Excellent communication skills with the ability to influence client business and IT teams Should have design data engineering solutions end to end. Ability to come up with scalable and modular solutions Required Qualification: 0-6months of hands-on experience Designing and developing Data Pipelines for Data Ingestion or Transformation using Python (PySpark)/Spark SQL in AWS cloud Experience in design and development of data pipelines and processing of data at scale. Advanced experience in writing and optimizing efficient SQL queries with Python and Hive handling Large Data Sets in Big-Data Environments Experience in debugging, tunning and optimizing PySpark data pipelines Should have implemented concepts and have good knowledge of Pyspark data frames, joins, caching, memory management, partitioning, parallelism etc. Understanding of Spark UI, Event Timelines, DAG, Spark config parameters, in order to tune the long running data pipelines. Experience working in Agile implementations Experience with building data pipelinesin streaming and batch mode. Experience with Git and CI/CD pipelines to deploy cloud applications Good knowledge of designing Hive tables with partitioning for performance. Desired Qualification: Experience in data modelling Hands on creating workflows on any Scheduling Tool like Autosys, CA Workload Automation Proficiency in using SDKsfor interacting with native AWS services Strong understanding of concepts of ETL, ELT and data modeling.

Job Title: Data Scientist Electric Load Forecasting Location: Mumbai / Pune Job Type: Full-time Experience: 3-5 years About the Role: We are seeking a highly motivated Data Scientist – Forecasting with a strong passion for energy, technology, and data-driven decision-making. In this role, you will be responsible for developing and refining energy load forecasting models , analyzing customer demand patterns , and improving forecasting accuracy using advanced time series analysis and machine learning techniques . Your insights will directly support risk management, operational planning, and strategic decision-making across the company. If you thrive in a fast-paced, dynamic environment and enjoy solving complex data science challenges , we’d love to hear from you! Key Responsibilities: Develop and enhance energy load forecasting models using time series forecasting , statistical modeling , and machine learning techniques . Analyze historical and real-time energy consumption data to identify trends and improve forecasting accuracy. Investigate discrepancies between forecasted and actual energy usage , providing actionable insights. Automate data pipelines and forecasting workflows to streamline processes across departments. Monitor day-over-day forecast variations and communicate key insights to stakeholders. Work closely with internal teams and external vendors to refine forecasting methodologies . Perform scenario analysis to assess seasonal patterns, anomalies, and market trends. Continuously optimize forecasting models , leveraging techniques like ARIMA, Prophet, LSTMs, and regression-based models . Qualifications & Skills: 3-5 years of experience in data science, preferably in energy load forecasting , demand prediction, or a related field. Strong expertise in time series analysis , forecasting algorithms , and statistical modeling . Proficiency in Python , with experience using libraries such as pandas, NumPy, scikit-learn, statsmodels, and TensorFlow/PyTorch . Experience working with SQL and handling large datasets. Hands-on experience with forecasting models like ARIMA, SARIMA, Prophet, LSTMs, XGBoost, and random forests . Familiarity with feature engineering, anomaly detection, and seasonality analysis . Strong analytical and problem-solving skills with a data-driven mindset . Excellent communication skills, with the ability to translate technical findings into business insights . Ability to work independently and collaboratively in a fast-paced, dynamic environment . Strong attention to detail, time management, and organizational skills. Preferred Qualifications (Nice to Have): Experience working with energy market data, smart meter analytics, or grid forecasting . Knowledge of cloud platforms (AWS) for deploying forecasting models . Experience with big data technologies such as Spark or Hadoop .

Role: Senior Full Stack Developer Location: Mumbai Experience: 3yrs to 8yrs Technologies / Skills: Java8, Spring MVC, Springboot JPA/Hibernate, Angular/React, AWS Cloud Services, Terraform, Advance SQL, Python Responsibilities: - Communicating with users and other technical teams and develop Web Application. - Develop API using AWS API Gateway and AWS Lambda. - Develop API using Java Springboot and dockerize using AWS ECS Fargate. - Develop CI/CD using concourse/jenkins to build/deploy application in AWS Cloud. - Frontend development using Angular/React(any one) - Performs software design and code reviews - Works on complex problems having broad impact that require in depth analysis and judgment to obtain results or solutions - Defines and documents business requirements for complex system development or testing - Comfortable working with agile / scrum / kanban - Collaborate with designers, development team, security and product team to deliver best in class enterprise ready solutions using industry standard development tools and practices - Willingness to join a distributed team operating across different time-zones - Maintain high ethical and performance standards Required Qualification: - 3 years of relevant IT experience - 2+ years of hands-on experience developing Web Application in AWS cloud - Experience in JavaScript, Angular or React for building single-page applications - Experience implementing REST APIs in AWS Cloud - At least 2 years hands-on server development experience (Java/Python/C#) - Hands on in Java Springboot, Python, Hibernate/JPA, relational DB, DynamoDB, AWS Docker services like ECS, ECR - Experience with CI/CD pipeline implementation using concourse/jenkins - Bachelors and/or Master's Degree in Computer Science related field.

Role: Cloud Data Architect Experience: 8yrs-12yrs Location: Mumbai / Pune As a Cloud Data Architect, you will design, implement, and evangelize scalable, secure data architectures in a cloud environment. In addition to driving technical excellence in client delivery, you will collaborate with our sales and pre-sales teams to develop reusable assets, accelerators, and artifacts that support RFP responses and help win new business. Role Summary • Architect, design, and deploy end-to-end cloud data solutions while also serving as a technical advisor in sales engagements. • Create accelerators, solution blueprints, and artifacts that can be leveraged for client proposals and RFP responses. • Collaborate across multiple teams to ensure seamless integration of technical solutions with client delivery and business goals. Key Skills / Technologies • Must-Have: o Cloud Platforms (AWS, Azure, or Google Cloud) o Data Warehousing & Data Lakes (Redshift, BigQuery, Snowflake, etc.) o Big Data Technologies (Hadoop, Spark, Kafka) o SQL & NoSQL databases o ETL/ELT tools and pipelines o Data Modeling & Architecture design • Good-to-Have: o Infrastructure-as-Code (Terraform, CloudFormation) o Containerization & orchestration (Docker, Kubernetes) o Programming languages (Python, Java, Scala) o Data Governance and Security best practices Responsibilities • Technical Architecture & Delivery: o Design and build cloud-based data platforms, including data lakes, data warehouses, and real-time data pipelines. o Ensure data quality, consistency, and security across all systems. o Work closely with cross-functional teams to integrate diverse data sources into a cohesive architecture. • Sales & Pre-Sales Support: o Develop technical assets, accelerators, and reference architectures that support RFP responses and sales proposals. o Collaborate with sales teams to articulate technical solutions and demonstrate value to prospective clients. o Present technical roadmaps and participate in client meetings to support business development efforts. • Cross-Functional Collaboration: o Serve as a liaison between technical delivery teams and sales teams, ensuring alignment of strategies and seamless client hand-offs. o Mentor team members and lead technical discussions on architecture best practices. Required Qualifications • Bachelors or Masters degree in Computer Science, Information Systems, or a related field. • 8+ years of experience in data architecture/design within cloud environments, with a track record of supporting pre-sales initiatives. • Proven experience with cloud data platforms and big data technologies. • Strong analytical, problem-solving, and communication skills. Why Join Us • Influence both our technical roadmap and sales strategy by shaping cuttingedge, cloud-first data solutions. • Work with a dynamic, multi-disciplinary team and gain exposure to high-profile client engagements. • Enjoy a culture of innovation, professional growth, and collaboration with competitive compensation and benefits.

Job Title : Sr. Data Scientist Location : Mumbai / Pune Job Type : Full-time Experience : 4-7 years About the Role : We are seeking a Sr. Data Scientist with experience in Computer Vision to join our team. You will be responsible for building and maintaining models including but not limited to Vision Transformer neural networks. This role involves collaborating with data engineers and backend developers to deliver quality AI solutions. Responsibilities : Design and implement end-to-end machine learning workflows for image and computer vision applications, from data collection to model deployment. Collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to define and prioritize machine learning initiatives. Document technical designs and model specifications, ensuring clarity and accessibility for stakeholders and team members. Ensure adherence to best practices in model development, deployment, and monitoring, in alignment with the overall AI strategy. Monitor model performance and implement strategies for continuous improvement and retraining as needed. Develop scalable and efficient deep learning models using PyTorch, optimizing for performance and resource utilization. Qualifications : Bachelors degree in Computer Science or a related field. 4-7 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision tasks. Proficient in using PyTorch for developing deep learning models, with a strong understanding of CNNs, transfer learning, vision transformers, and data augmentation techniques. Solid understanding of computer vision concepts, including image classification, object detection, and image segmentation. Strong programming skills in Python, with experience in data manipulation libraries such as NumPy and Pandas. Experience with version control systems like Git. Excellent analytical and problem-solving skills, strong communication abilities, and a collaborative mindset. Preferred Qualifications : Experience with cloud platforms (e.g., AWS, GCP, Azure) and their ML services, particularly those related to model deployment and GPU training. Understanding of MLOps principles and practices, including model monitoring, versioning, and governance. Knowledge of GPU computing and tools for managing GPU resources (e.g., CUDA, cuDNN).

Role: Senior Data Consultant Experience: 6yrs-12yrs Location: Mumbai & Pune As a Senior Data Consultant, you will serve as a trusted advisor and subject matter expert, using data to drive actionable business insights. In this role, you will not only lead client engagements and deliver high-quality data solutions but also work closely with our sales teams to create accelerators, architectural artifacts, and pre-sales assets for RFPs. Role Summary Lead strategic data consulting projects and work directly with clients to design and implement data-driven solutions. Develop and maintain a library of accelerators, frameworks, and artifacts that support sales proposals and RFP responses. Collaborate with cross-functional teams to ensure successful client delivery and seamless handoffs between sales and project implementation. Key Skills / Technologies Must-Have: Data Analytics & Visualization (Tableau, Power BI, etc.) Advanced SQL and data querying skills Strong statistical and analytical expertise Experience in data integration, cleansing, and modeling Excellent communication and stakeholder management skills Good-to-Have: Familiarity with programming languages (Python, R) for advanced analytics Knowledge of data warehousing and big data platforms Experience in a consulting or client-facing role Familiarity with data governance and business intelligence frameworks Responsibilities Client Consulting & Delivery: Lead data analysis projects and work directly with clients to define requirements and deliver actionable insights. Design data models and visualizations that support strategic decision-making across multiple business areas. Advise clients on best practices for data management and analytics to optimize their business processes. Sales & Pre-Sales Support: Create accelerators, consulting frameworks, and architectural artifacts that can be used in RFP responses and sales proposals. Support the sales team by participating in client presentations, technical workshops, and presales engagements. Provide expert insights and technical recommendations that bridge the gap between client needs and technology solutions. Collaboration & Mentoring: Work closely with technical teams, sales, and delivery teams to ensure cohesive strategies and smooth client handoffs. Mentor junior consultants and share best practices in data analysis and consulting methodologies. Required Qualifications Bachelors or Masters degree in Data Science, Business Analytics, Statistics, or a related field. 5+ years of experience in data consulting or analytics roles, with significant client-facing responsibilities. Demonstrated ability to develop data-driven solutions that positively impact business performance. Excellent problem-solving and communication skills, with experience supporting both sales and client delivery. Why Join Us Be at the forefront of transforming businesses through data by working on diverse, high-impact projects. Play a dual role in driving sales success and ensuring high-quality client delivery. Collaborate with a passionate team of experts and enjoy continuous professional growth in a dynamic environment with competitive benefits.

Role: Senior Data Engineer Location: Mumbai & Pune Experience: 3yrs to 8yrs Technologies / Skills: Advanced SQL, Python and associated libraries like Pandas, NumPy etc., Pyspark , Shell scripting, Data-Modelling, Big data, Hadoop, Hive, ETL pipelines. Responsibilities: • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and develop data engineering strategy. • Ability to work with business owners to define key business requirements and convert to user stories with required technical specifications. • Communicate results and business impacts of insight initiatives to key stakeholders to collaboratively solve business problems. • Working closely with the overall Enterprise Data & Analytics Architect and Engineering practice leads to ensure adherence with the best practices and design principles. • Assures quality, security and compliance requirements are met for supported area. • Design and create fault-tolerance data pipelines running on cluster • Excellent communication skills with the ability to influence client business and IT teams • Should have design data engineering solutions end to end. Ability to come up with scalable and modular solutions. Required Qualification: • 3+ years of hands-on experience Designing and developing Data Pipelines for Data Ingestion or Transformation using Python (PySpark)/Spark SQL in AWS cloud • Experience in design and development of data pipelines and processing of data at scale. • Advanced experience in writing and optimizing efficient SQL queries with Python and Hive handling Large Data Sets in Big-Data Environments • Experience in debugging, tunning and optimizing PySpark data pipelines • Should have implemented concepts and have good knowledge of Pyspark data frames, joins, caching, memory management, partitioning, parallelism etc. • Understanding of Spark UI, Event Timelines, DAG, Spark config parameters, in order to tune the long running data pipelines. • Experience working in Agile implementations • Experience with building data pipelines in streaming and batch mode. • Experience with Git and CI/CD pipelines to deploy cloud applications • Good knowledge of designing Hive tables with partitioning for performance. Desired Qualification: • Experience in data modelling. • Hands on creating workflows on any Scheduling Tool like Autosys, CA Workload Automation. • Proficiency in using SDKsfor interacting with native AWS services. • Strong understanding of concepts of ETL, ELT and data modeling.

Role: Sr Python FastAPI Developer Location: Mumbai Experience: 4yrs to 7yrs Technologies / Skills: Python (FastAPI), Advance SQL, Postgres, DynamoDB, Docker Responsibilities: - Build high-performance REST APIs & WebSockets to power web applications. - Design, develop, and maintain scalable and efficient backend services using FastAPI for web applications. - Coordinating with development teams to determine application requirements and integration points. - Understanding of fundamental design principles behind a scalable application and writing scalable code. - Implement security best practices to safeguard sensitive data and ensure compliance with privacy regulations. - Own and manage all phases of the software development lifecycle planning, design, implementation, deployment, and support. - Build reusable, high-quality code and libraries for future use that are high-performance and can be used across multiple projects. - Conduct code reviews and provide constructive feedback to team members. - Stay up-to-date with emerging technologies and trends in Python development and FastAPI framework. - Ensuring the reliability and correctness of FastAPI applications using Pytest - Defines and documents business requirements for complex system development or testing - Comfortable working with agile / scrum / kanban - Willingness to join a distributed team operating across different time-zones Required Qualification for Sr Python FastAPI Developer - Bachelors degree in IT, computer science, computer engineering, or similar - Min. 3+ years of experience in Python (FastAPI) development. - Strong understanding of asynchronous programming and background tasks. - Knowledge of Pydantic, CRON jobs scheduler, Swagger Ul for endpoints. - Proficiency in database management systems.(e. g., DynamoDB, PostgreSQL). - Familiarity with containerization technologies such as Docker. - Excellent verbal and written communication skills - Experience with version control systems (e.g., Git, Git actions) is a plus.

Role: Sr Angular Developer Location: Mumbai Experience: 4yrs to 7yrs Technologies / Skills: Angular, TypeScript Responsibilities: - Design and develop high-performing and responsive web applications using Angular best practices. - Write clean and efficient TypeScript, CSS, and HTML codes. - Connect with other team members, such as UX designers, project managers, and back-developers to deliver quality work. - Analyze and resolve debugging issues in the application code to maintain the sustainability of the application. - Proficiency in JavaScript, TypeScript, Angular, HTML, and CSS. - Manage all code compliance with respect to the standards set by the company. - Coordinate with the backend team to create, test and execute code that merges with live streams and API endpoints - Create system configuration functions using a component-based architecture. - Hands-on experience in developing modularized or template-based implementation. - Perform product analysis and development tasks that may require extensive research and analysis. - Conduct code reviews and provide constructive feedback to team members. - Defines and documents business requirements for complex system development or testing - Comfortable working with agile / scrum / kanban - Willingness to join a distributed team operating across different time-zones Required Qualification for Sr Angular Developer - Bachelor s degree in IT, computer science, computer engineering, or similar - Min. 4 years of Angular, TypeScript experience - Practical knowledge of Angular 2+, and TypeScript - Good understanding of UI/UX design principles - Excellent Node.JS knowledge - Problem-solving and analytical skills - Have good knowledge of APIs, routing, . - Strong knowledge of CSS, HTML, and writing cross-browser compatible code. - Should be a team player and have strong attention to detail - Excellent verbal and written communication skills - Experience with CI/CD pipeline implementation using concourse/jenkins/git actions or any DevOps tool. - Experience with version control systems (e.g., Git, Git actions) is a plus. - Knowledge of AWS Cloud services, Terraform, Advance SQL, Python is a plus.

Role: Sr Python FastAPI Developer Location: Mumbai Experience: 4yrs to 7yrs Technologies / Skills: Python (FastAPI), Advance SQL, Postgres, DynamoDB, Docker Responsibilities: - Build high-performance REST APIs & WebSockets to power web applications. - Design, develop, and maintain scalable and efficient backend services using FastAPI for web applications. - Coordinating with development teams to determine application requirements and integration points. - Understanding of fundamental design principles behind a scalable application and writing scalable code. - Implement security best practices to safeguard sensitive data and ensure compliance with privacy regulations. - Own and manage all phases of the software development lifecycle planning, design, implementation, deployment, and support. - Build reusable, high-quality code and libraries for future use that are high-performance and can be used across multiple projects. - Conduct code reviews and provide constructive feedback to team members. - Stay up-to-date with emerging technologies and trends in Python development and FastAPI framework. - Ensuring the reliability and correctness of FastAPI applications using Pytest - Defines and documents business requirements for complex system development or testing - Comfortable working with agile / scrum / kanban - Willingness to join a distributed team operating across different time-zones Required Qualification for Sr Python FastAPI Developer - Bachelor s degree in IT, computer science, computer engineering, or similar - Min. 3+ years of experience in Python (FastAPI) development. - Strong understanding of asynchronous programming and background tasks. - Knowledge of Pydantic, CRON jobs scheduler, Swagger Ul for endpoints. - Proficiency in database management systems.(e. g., DynamoDB, PostgreSQL). - Familiarity with containerization technologies such as Docker. - Excellent verbal and written communication skills - Experience with version control systems (e.g., Git, Git actions) is a plus.