Location: Ahmedabad Work Mode: Work From Office We’re looking for a talented Data Scientist enthusiast who uses analytical, statistical, and programming skills to collect large data sets & develop data-driven solutions. Technical Skills:  Language: Python  Proficiency in data mining, mathematics, and statistical analysis  Machine learning techniques and algorithms, with good expertise in optimization  Cloud: GCP (Preferred) /Azure  Data-oriented personality Ideally, you should have: 04 to 06 years of proven experience as a Data Scientist  Identify valuable data sources and automate collection processes  Undertake preprocessing of structured and unstructured data  Analyze large amounts of information to discover trends and patterns  Run optimization algorithms to identify the best solution (Linear Programming expertise required)  Build predictive models and machine-learning algorithms  Combine models through ensemble modeling  Present information using data visualization techniques  Proficiency in Python and Machine Learning.  Experience with Generative AI and Agentic AI models.  Strong analytical mind and business acumen.  Excellent problem-solving aptitude.  Effective communication and presentation skills.  Knowledge of the Indian power sector will be a definite plus

Position: DevOps Engineer Location: Ahmedabad (On-site at office) Experience: 3 to 7 years of relevant experience Purpose We are looking for a highly skilled DevOps professional with 3 to 7 years of experience to work with us. The candidate will bring expertise in GCP Platform, containerization & orchestration, SDLC, operating systems, version control, languages, scripting, CI/CD, infrastructure as code, and databases. Experience in the Azure Platform, in addition to the GCP platform, will be highly valued. Experience:  3-7 years of experience in DevOps.  Proven experience in implementing DevOps best practices and driving automation.  Demonstrated ability to manage and optimize cloud-based infrastructure. Roles and Responsibilities: The DevOps professional will be responsible for:  Implementing and managing the GCP Platform, including Google Kubernetes Engine (GKE), CloudBuild and DevOps practices.  Leading efforts in containerization and orchestration using Docker and Kubernetes.  Optimizing and managing the Software Development Lifecycle (SDLC).  Administering Linux and Windows Server environments proficiently.  Managing version control using Git (BitBucket) and GitOps (preferred).  Automating and configuring tasks using YAML and Python.  Developing and maintaining Bash and PowerShell scripts.  Designing and developing CI/CD pipelines using Jenkins and optionally CloudBuild.  Implementing infrastructure as code through Terraform to optimize resource management.  Managing CloudSQL and MySQL databases for reliable performance. Education Qualification  Bachelor’s degree in Computer Science, Engineering, or a related field.  Master’s degree in a relevant field (preferred). Certifications Preferred  Professional certifications in GCP, Kubernetes, Docker, and DevOps methodologies.  Additional certifications in CI/CD tools and infrastructure as code (preferred). Behavioural Skills  Strong problem-solving abilities and keen attention to detail.  Excellent communication and collaboration skills.  Ability to adapt to a fast-paced and dynamic work environment.  Strong leadership and team management capabilities. Technical Skills  Proficiency in Google Kubernetes Engine (GKE), CloudBuild, and DevOps practices.  Expertise in Docker and Kubernetes for containerization and orchestration.  Deep understanding of the Software Development Lifecycle (SDLC).  Proficiency in administering Linux and Windows Server environments.  Experience with Git (BitBucket) and GitOps (preferred).  Proficiency in YAML and Python for automation and configuration.  Skills in Bash and PowerShell scripting.  Strong ability to design and manage CI/CD pipelines using Jenkins and optionally CloudBuild.  Experience with Terraform for infrastructure as code.  Management of CloudSQL and MySQL databases. Non-Negotiable Skills  GCP Platform: Familiarity with Google Kubernetes Engine (GKE), CloudBuild, and DevOps practices.  Experience with Azure  Containerization & Orchestration: Expertise in Docker and Kubernetes.  SDLC: Deep understanding of the Software Development Lifecycle.

Position: Data Engineer Location: Ahmedabad (On-site at office) Experience: 4+ years of relevant experience Job Description: We are looking for a skilled Data Engineer responsible for building ETLs, data pipelines, and setting automation schedules for data collection. The ideal candidate will have expertise in Python for applying transformation techniques and proficiency in database management systems such as SQL, MySQL, and MongoDB. Experience with GCP cloud services, including BigQuery and Cloud Functions, is essential. Responsibilities:  Assemble large, complex datasets that meet functional and non-functional business requirements.  Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.  Build the necessary infrastructure for optimal extraction, transformation, and loading (ETL) of data from various sources using GCP/Azure and SQL technologies.  Develop analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics such as operational efficiency and customer acquisition.  Collaborate with stakeholders (data, design, product, and executive teams) to address data-related technical issues.  Understand visualization requirements and translate them into actionable data pipelines. Qualifications and Skills:  Strong expertise in SQL and Python.  Knowledge of both relational (e.g., SQL, BigQuery) and non-relational (e.g., MongoDB) Database management systems.  Experience with GCP cloud services, including BigQuery and Cloud Functions.