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. Show more Show less
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. Show more Show less
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. Show more Show less
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. Show more Show less
As a DevOps Engineer or AWS Cloud Engineer, you will be responsible for setting up AWS Infrastructure using Terraform Enterprise and Concourse (CI/CD) Pipeline. Your role will involve configuring and managing various tools and infrastructure components, with a focus on automation wherever possible. You will also be troubleshooting code issues, managing databases such as PostgreSQL, DynamoDB, and Glue, and working with different cloud services. Your responsibilities will include striving for continuous improvement by implementing continuous integration, continuous development, and constant deployment pipelines. Additionally, you will be involved in incident management and root cause analysis of AWS-related issues. To excel in this role, you should have a Master of Science degree in Computer Science, Computer Engineering, or a relevant field. You must have prior work experience as a DevOps Engineer or AWS Cloud Engineer, with a strong understanding of Terraform, Terraform Enterprise, and AWS infrastructure. Proficiency in AWS services, Python, PySpark, and Agile Methodology is essential. Experience working with databases such as PostgreSQL, DynamoDB, and Glue will be advantageous. If you are passionate about building scalable and reliable infrastructure on AWS, automating processes, and continuously improving systems, this role offers a challenging yet rewarding opportunity to contribute to the success of the organization.,
Responsibilities Act as a liaison between the Business and Development teams to ensure clear communication and alignment on project goals. Facilitate discussions to capture and document business and technical requirements. Translate business needs into well-defined User Stories, incorporating diagrams and technical specifications for the Dev team. Create and maintain clear and structured documentation to support communication across teams. Develop and execute test plans to validate requirements and ensure quality outcomes. Support backlog management, ensuring priority alignment between business needs and technical execution. Collaborate in analyzing workflows to identify and address technical and user experience gaps. Skills Strong analytical and problem-solving skills Excellent communication and interpersonal skills Knowledge of business processes and willingness to learn US property and auto insurance industry Proficiency in software documentation tools and methodologies Ability to work independently and collaboratively in a team environment Experience with Agile methodologies and product management Data analysis and visualization skills Familiarity with SaaS software systems and platforms Experience with greenfield development a plus
As a senior data consultant, you will serve as a trusted advisor and subject matter expert, utilizing data to drive actionable business insights. Your role involves leading client engagements, delivering high-quality data solutions, and collaborating with sales teams to create accelerators, architectural artifacts, and pre-sales assets for RFPs. In this position, you will lead strategic data consulting projects, working directly with clients to design and implement data-driven solutions. You will be responsible for developing and maintaining a library of accelerators, frameworks, and artifacts to support sales proposals and RFP responses. Additionally, you will 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, define client requirements, and deliver actionable insights. - Design data models and visualizations to support strategic decision-making across various business areas. - Advise clients on data management and analytics best practices to optimize business processes. Sales & Pre-Sales Support: - Develop accelerators, consulting frameworks, and architectural artifacts for RFP responses and sales proposals. - Support sales team through client presentations, technical workshops, and pre-sales engagements. - Provide expert insights and technical recommendations aligning client needs with technology solutions. Collaboration & Mentoring: - Work closely with technical, 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 related field. - 5+ years of experience in data consulting or analytics roles with client-facing responsibilities. - Demonstrated ability to develop data-driven solutions that enhance business performance. - Strong problem-solving and communication skills supporting both sales and client delivery. Why Join Us: - Contribute to transforming businesses through data on diverse, high-impact projects. - Drive sales success and ensure high-quality client delivery simultaneously. - Collaborate with a passionate team of experts, experiencing continuous professional growth in a dynamic environment with competitive benefits.,
Designation – Data Engineer (Engineer & Senior Engineer Level) Location: Remote (across India) Experience: 3 to 8 years Technologies / Skills Strong hands-on experience with AWS data engineering services (ETL, orchestration, and streaming tools. Proficiency in SQL, Python (Pandas, NumPy) and PySpark. Experience in ETL/ELT pipeline development, data modeling and working with large-scale data systems. Familiarity with CI/CD workflows, Git and version control practices. Responsibilities Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable data solutions. Design, build and maintain robust, secure, high-performance data pipelines Ensure adherence to data quality, governance and compliance standards Work with architects and engineering leads to follow best practices and optimize for performance Communicate insights and technical decisions effectively with cross-functional stakeholders Participate in Agile ceremonies and deliver iterative improvements in data infrastructure Required Qualifications 3+ years of hands-on experience with AWS data engineering services, including: AWS Glue, Athena, EMR, Redshift, Lambda, Kinesis, S3, Step Functions, CloudWatch. Expertise in building data pipelines using PySpark/Spark SQL. Strong SQL and Python skills with experience in large-scale data transformation and ingestion. Knowledge of Spark internals (joins, partitioning, memory management) and performance tuning via Spark UI. Experience with Git, CI/CD pipelines, and working in Agile environments. Understanding of partitioning, schema design, and query performance optimization. Desired Qualifications Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Exposure to streaming platforms such as Kafka, Kinesis etc . Working knowledge of AWS SDKs (e.g., Boto3) for automation and integration. Familiarity with modern ETL/ELT patterns and data modeling techniques. Basic proficiency in shell scripting for automation and support tasks.
As a Senior Software Engineer at Go Digital Technology Consulting LLP in Mumbai, you will be leveraging your 5+ years of experience in .NET technologies to design, develop, test, and maintain high-quality software solutions. You will play a crucial role in leading a team of 5-10 software engineers, providing technical guidance, and mentorship. Your responsibilities will include driving technical excellence, collaborating with architects and team leads, and ensuring consistency with the overall technical strategy. Your problem-solving skills will be put to the test as you address complex technical challenges and investigate issues reported in production, providing timely solutions. You will also be responsible for managing and mentoring a team of software engineers, fostering a collaborative and innovative team culture. Additionally, you will be part of the team handling IT emergencies and responding to system outages or security incidents. To excel in this role, you must have extensive front-end development experience, particularly in Angular or similar JavaScript frameworks. Your expertise in writing, optimizing, and debugging complex SQL queries will be essential for efficient data retrieval and manipulation. Proven leadership and management experience, along with strong problem-solving and analytical skills, are key requirements. Excellent communication and interpersonal skills, along with the ability to thrive in a fast-paced and dynamic work environment, will be valuable assets. It is mandatory for you to have a solid understanding of firewall, VPC, Azure Identity, and an excellent grasp of SQL Server for designing and optimizing complex queries. Being a quick learner who can adapt to new design patterns and technologies will be crucial for success in this role. Your contributions will assist in transforming vast amounts of data into valuable insights and information, helping our clients prosper and succeed in the data analytics field.,