We are looking for a Lead Data Engineer to drive the development of modern data platform. This role will focus on building scalable and reliable data pipelines using tools like DBT, Snowflake, and Apache Airflow, and will play a key part in shaping data architecture and strategy.As a technical leader, you’ll work closely with cross-functional teams including analytics, product, and engineering to deliver clean, accessible, and trustworthy data for business decision-making and machine learning use cases. Key Responsibilities: Lead the design and implementation of ELT pipelines using DBT and orchestrate workflows via Apache Airflow.Architect and optimize our cloud data warehouse in Snowflake, ensuring performance, scalability, and cost efficiency.Collaborate with data analysts and stakeholders to model and deliver well-documented, production-grade datasets.Establish data engineering best practices around version control, testing, CI/CD, and observability.Build and maintain data quality checks and data validation frameworks.Mentor junior data engineers and foster a strong engineering culture within the team.Collaborate on data governance efforts, including metadata management, data lineage, and access controls.Evaluate and integrate new tools and technologies to evolve our data stack. Requirements: 7+ years of experience in data engineering with at least 2 years in a lead role.Strong experience designing and managing data pipelines with DBT and Airflow.Deep understanding of Snowflake, including performance tuning and cost optimization.Strong SQL and Python skills for data transformation and automation.Experience with Git-based workflows and CI/CD for data pipelines.Excellent communication skills and experience working with cross-functional teams.Experience with data cataloging and lineage tools Exposure to event-driven architectures and real-time data processing.Understanding of data privacy and security standards Education:Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
Job Summary: As a Senior Post-Sales Business Analyst specializing in software implementation, you will ensure the successful deployment and integration of software solutions for our clients. Your role will focus on gathering requirements, facilitating communication and optimizing processes between stakeholders during the implementation phase, ultimately driving customer satisfaction and project success. Key Responsibilities: Requirements Gathering: Collaborate with clients to gather detailed requirements and translate them into epics and user stories that guide the development and implementation process using tools or in the standard BA documentations. Implementation Oversight: Work closely with project managers and technical teams to ensure a smooth transition from sales to implementation, addressing any challenges that arise during the onboarding process. Helping the Technical team with the Sprint ceremonies. Epic and User Story Creation: Draft, prioritize, and refine user stories and epics based on client needs and feedback, ensuring alignment with project goals and Agile methodologies. Change Request Management: Manage change requests throughout the implementation process, assessing their impact, documenting them appropriately, and coordinating with relevant stakeholders for approvals and adjustments. Project Documentation: Develop and maintain comprehensive project documentation, including implementation plans, requirement specifications, and user manuals to ensure clarity and alignment among all stakeholders. Low-Fidelity Wireframing: Create low-fidelity wireframes to visualize proposed solutions and gather feedback from clients and internal teams, ensuring that designs meet user needs and project objectives. Process Optimization: Identify opportunities for improving post-sales workflows, enhancing the efficiency of software deployment and integration. Stakeholder Engagement: Serve as the main point of contact for clients throughout the implementation process, facilitating communication between customers and internal teams to ensure alignment and address any issues. Training & Support: Provide training sessions and resources to clients on software functionalities and best practices to ensure successful adoption and utilization. Continuous Improvement: Gather feedback during the implementation phase and recommend enhancements to processes, tools, and software functionalities to improve future projects. Project Management: Handle multiple projects concurrently, ensuring timely delivery and quality of outcomes while adapting to various client needs and schedules. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field; Masters degree preferred. 4+ years of experience in business analysis, particularly in software implementations. Past experience of working with AI and Data Science is preferred. Strong analytical and problem-solving skills, with a focus on project execution and customer experience. Proficiency with software project management tools (e.g., JIRA, Asana) and wireframing tools (e.g., Balsamiq, Figma). Excellent communication and interpersonal skills, with the ability to work collaboratively across technical and non-technical teams. Experience with Agile project management methodologies (Agile, Scrum) is highly desirable. Perks and Benefits: Flexible work timings Great place to work certified Work life balance 5 days a week Competitive salary Sponsored training Surprise bonuses Medical insurance Accidental claims
Role & responsibilities Maintain and enhance existing source code for ongoing projects. Develop both frontend and backend code, ensuring the implementation of robust unit tests. Take ownership of code quality, ensuring best practices are followed and defects are minimized. Participate in project estimations and contribute to the creation of release plans. He/She will own the responsibility of quality. The developer will be responsible for peer code review. Would be involved in project estimations & release plan. Preferred candidate profile 4+ years of development experience with ASP.NET/.NET, MVC, .NET Core The applicant must have thorough working knowledge and experience with .Net, C# & MVC, REST API, WCF Services, Unit Test, SQL Server, CSS, HTML and Javascript. Good to have experience with Design patterns, Elasticsearch, Continuous Integration Tools like TeamCity or Jenkins. He/She should possess good communication skills with a positive attitude and team spirit. Perks and benefits Flexible Work Timings Great Place To Work Certified Work Life Balance 5 Days a Week Competitive Salary Sponsored Training Surprise Bonus Medical Insurance Accidental Claims
Brief Description We are seeking an innovative DevOps Team Leader to join our team! This person would be taking over, as a technical leader, an existing team of DevOps engineers that is responsible for managing cloud platform automation, developing and operating CI / CD pipelines, performance, availability and reliability of our cloud hosted applications. The Opportunity As a DevOps Team Lead, your primary responsibilities would be for guiding the team through established projects to ensure successful outcomes and timelines. The team is responsible for managing cloud platform automation, developing and operating CI / CD pipelines, performance, availability and reliability of our cloud hosted applications. The ideal candidate will be accountable for managing all cloud infrastructure from the point of project builds to production deployment. Your responsibilities on these systems will include but will not be limited to engineering, deployment, provisioning, and maintenance of the server infrastructure, as well as research and development to ensure continual innovation. As a lead level position, you will additionally be expected to offer guidance to junior members of the team, offer mentoring, and technical performance reviews. Responsibilities Architect infrastructure in AWS Own and drive projects development to delivery Work closely with software engineers and tech leadership to drive projects Build and run production environments in AWS using Infrastructure as code methods Orchestrate environment development using Terraform and Ansible Build & Deploy CI pipeline automation to a combination of Kubernetes/Docker and VM based systems in AWS Work closely with System Architects, Engineers, Product Managers and System Administrators to meet their environment setup and service automation needs Develop processes to make DevOps as part of the engineering development, service deployment and operations lifecycle Develop scripts for deployment, troubleshooting, automation, and regular maintenance System monitoring & analytics Regularly review work product and progress of team members to ensure best practices are being followed Conduct team training sessions on technology and features used by Maruti Provide guidance and mentor junior DevOps engineers Comply with Company Information Security policies and procedures and report any incident that is related to information security
About the Role: In this role, you will play a critical part in driving our sales pipeline by qualifying leads, generating appointments for our Account Executives, and exceeding sales goals. You'll be responsible for prospecting, cold calling, email outreach, and nurturing leads through the sales funnel. Responsibilities: Prospect and qualify leads through various channels to identify potential customers for our Cloud, AI, ML, Product development, and other relevant services offered by Maruti Techlabs. Conduct in-depth research to understand customer needs and pain points. Ability to qualify leads and opportunities, Analyze data to identify trends, patterns, and insights, and provide valuable information for decision-making. Develop compelling sales email pitches, conversations, and presentations to communicate the value proposition of Maruti Techlabs' services effectively. Execute effective email sequencing campaigns via email sequencing tools & Hubspot. Execute effective cold-calling strategies to connect with decision-makers and generate qualified sales appointments. Planning and executing events & on-ground campaigns to set up in-person meetings for the Account Executives. Manage and nurture leads through the sales funnel using a Hubspot CRM. Maintain accurate records of all sales activities and track key performance indicators (KPIs). Collaborate effectively with Account Executives and other internal teams to ensure a smooth sales process. Reporting on lead qualification(s) and activity also provides insights to the marketing and sales leadership team on what is working and what is not. Qualifications: Minimum 4+ years of experience in a B2B sales development role, preferably in the technology or IT services industry. Proven track record of exceeding sales quotas and generating qualified leads. Strong understanding of the sales cycle and lead generation best practices. Excellent communication, presentation, and interpersonal skills. Ability to build rapport and effectively communicate with potential clients. Proficient in using Hubspot or similar CRM platforms. Strong research and analytical skills. A self-motivated and results-oriented individual with a positive attitude. Bonus Points: Exposure to attending industry events & networking Experience with Hubspot, Apollo.io, and other Sales tech stacks. Growth Potential: This role offers an exciting opportunity to directly impact our sales team's success. This is an individual contributor role initially, with the potential to transition into an Account Executive role on proven performance.Join our team to contribute, learn & grow your career to the next level!
Role & responsibilities Developing complex data analysis, methodologies, and predictive data models for improvising business sales performance Developing and leading projects that include a variety of advanced qualitative and quantitative analytic assignments Build visualization through a set of recurring reports that serves tracking of campaigns, monitoring KPIs, and supporting real-time analytics Providing business insights and recommendations that will eventually help the technical team to plan further feature improvements Conduct Exploratory Data Analysis, build upon business segmentation, and more that leads to actionable insights Extensive experience in designing high-impact experiments, that are supported by indicative data patterns Translate complex data insights and present them to internal executives and clients to support decision making Collaborate with other teams in the organization, such as data scientists, engineers, and business stakeholders Document the outcome of data analysis and ensure they are understandable and maintainable by other team members Keep up-to-date with emerging technologies and best practices in data analytics Preferred candidate profile Experience with SQL, Tableau, Power BI, Advanced Excel Proficiency in one or more programming languages is added advantage like R, Python Experience in popular utilized analytics approach like: Conducting exploratory data analysis Developing segmentation Designing performance score Designing A/B tests for experimentation Tracking and measuring experiments and A/B tests Experience with cloud-based data technologies such as Big Query, and Snowflake is good-to-have Strong problem-solving and analytical skills Excellent communication and collaboration skills Experience supporting and working with cross-functional teams in a dynamic environment Perks and Benefits: Flexible work timings Great place to work certified Work life balance 5 days a week Competitive salary Sponsored training Surprise bonuses Medical insurance Accidental claims
Job Summary - As a Senior Business Analyst specializing in both pre-sales and post-sales software implementation, you will play a pivotal role in ensuring the successful scoping, deployment, and integration of software solutions for our clients. Your responsibilities will span the entire customer journey from supporting the sales team in understanding client needs and crafting solution proposals, through to managing requirements, facilitating communication, and optimizing processes during the implementation phase. Ultimately, your work will drive customer satisfaction, win rates, and project success. Key Responsibilities: Pre-Sales Business Analysis Requirements Discovery (Pre-Sales) - Collaborate with prospective clients, sales teams, and solution architects to gather preliminary requirements through workshops, interviews, and discovery sessions. Solution Scoping - Translate business challenges into high-level solution outlines, ensuring proposed software capabilities align with customer needs and organizational goals. RFP/RFI Support - Lead the preparation and submission of business and technical inputs for RFPs/RFIs, including requirement breakdowns, functional specifications, and implementation approach. Business Case Development - Create ROI analyses, cost-benefit assessments, and high-level implementation roadmaps to support sales proposals. Competitive & Market Analysis - Research competitors’ offerings and industry trends to position our solution effectively in client pitches and proposals. Sales-to-Delivery Handover - Ensure a smooth transition from pre-sales commitments to delivery teams by documenting agreed requirements, scope boundaries, and success metrics. Post-Sales Business Analysis & Implementation Requirements Gathering - Collaborate with clients to gather detailed requirements and translate them into epics and user stories that guide the development and implementation process using tools or standard BA documentation. Implementation Oversight - Work closely with project managers and technical teams to ensure a smooth transition from sales to implementation, addressing any challenges that arise during onboarding. Support the technical team in sprint ceremonies. Epic and User Story Creation - Draft, prioritize, and refine user stories and epics based on client needs and feedback, ensuring alignment with project goals and Agile methodologies. Change Request Management - Manage change requests throughout the implementation process, assessing impact, documenting changes, and coordinating with relevant stakeholders. Project Documentation - Maintain comprehensive documentation, including implementation plans, requirement specifications, and user manuals. Low-Fidelity Wireframing - Create wireframes to visualize proposed solutions and gather feedback from clients and internal teams. Process Optimization - Identify opportunities to improve post-sales workflows for greater efficiency in software deployment and integration. Stakeholder Engagement - Serve as the main point of contact for clients throughout the implementation process, ensuring alignment and proactive communication. Continuous Improvement - Gather feedback to recommend enhancements to processes, tools, and functionalities. Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field Master’s degree preferred. 7+ years of experience in business analysis, spanning both pre-sales and post-sales phases in software projects. Proven experience supporting sales teams with solution scoping, RFP/RFI responses, and business case creation. Past experience working with AI and Data Science is preferred. Strong analytical and problem-solving skills, with a focus on project execution and customer experience. Proficiency with software project management tools (e.g., JIRA, Asana) and wireframing tools (e.g., Balsamiq, Figma). Excellent communication and interpersonal skills, able to collaborate across technical and non-technical teams. Experience with Agile project management methodologies (Agile, Scrum) is highly desirable.
About the Role: We are looking for a Lead Data Engineer to drive the development of modern data platform. This role will focus on building scalable and reliable data pipelines using tools like DBT , Snowflake , and Apache Airflow , and will play a key part in shaping data architecture and strategy. As a technical leader, you’ll work closely with cross-functional teams including analytics, product, and engineering to deliver clean, accessible, and trustworthy data for business decision-making and machine learning use cases. Key Responsibilities: Lead the design and implementation of ELT pipelines using DBT and orchestrate workflows via Apache Airflow . Architect and optimize our cloud data warehouse in Snowflake , ensuring performance, scalability, and cost efficiency. Collaborate with data analysts and stakeholders to model and deliver well-documented, production-grade datasets. Establish data engineering best practices around version control, testing, CI/CD, and observability. Build and maintain data quality checks and data validation frameworks. Mentor junior data engineers and foster a strong engineering culture within the team. Collaborate on data governance efforts, including metadata management, data lineage, and access controls. Evaluate and integrate new tools and technologies to evolve our data stack. Requirements: 8+ years of experience in data engineering with at least 2 years in a lead role. Strong experience designing and managing data pipelines with DBT and Airflow . Deep understanding of Snowflake , including performance tuning and cost optimization. Strong SQL and Python skills for data transformation and automation. Experience with Git-based workflows and CI/CD for data pipelines. Excellent communication skills and experience working with cross-functional teams. Experience with data cataloging and lineage tools Exposure to event-driven architectures and real-time data processing. Understanding of data privacy and security standards Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
We believe that [data science] is more than just a department - it's the driving force behind business decisions and strategies. Our data scientists are a team of innovative thinkers constantly pushing the boundaries of what's possible with data. They’re armed with access to the latest tools, technologies, and resources to solve complex problems and drive meaningful results. We are looking for a Senior Data Scientist to help us improve our Data Science products and create new applications. AI/ML Engineer responsibilities include designing and developing machine learning and deep learning systems. Running machine learning tests and experiments and implementing appropriate ML algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods, and programming. You will be responsible for developing efficient self-learning ML applications. Responsibilities : Study and transform data science prototypes Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Design ML applications Select appropriate annotated datasets for Supervised Learning methods Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Run evaluation experiments Perform statistical analysis of results and refine models Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Remain updated in the rapidly changing field of machine learning Requirements : Proven experience as an AI/ML Engineer or similar role Ability to effectively design software architecture Strong knowledge of Python, and R Deep knowledge of math, probability, statistics, and algorithms Ability to write robust and testable code Experience with machine learning frameworks (like Keras, PyTorch, Tensorflow) and libraries (like scikit-learn, pandas, spacy, NLTK) Good to have knowledge of Amazon and Google ML services Good to have knowledge of Docker and Kubernetes and cloud platforms like AWS, Azure Good to have knowledge of MLOps pipelines working to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models. Experience communicating research findings and analysis in both written and spoken. An analytical mind with problem-solving abilities Excellent communication skills Ability to work in a team. Qualification : B.S. Or M.S. in Computer Science or equivalent experience.
We are seeking an innovative DevOps Team Leader to join our team! This person would be taking over, as a technical leader, an existing team of DevOps engineers that is responsible for managing cloud platform automation, developing and operating CI / CD pipelines, performance, availability and reliability of our cloud hosted applications. The Opportunity: As a DevOps Team Lead, your primary responsibilities would be for guiding the team through established projects to ensure successful outcomes and timelines. The team is responsible for managing cloud platform automation, developing and operating CI / CD pipelines, performance, availability and reliability of our cloud hosted applications. The ideal candidate will be accountable for managing all cloud infrastructure from the point of project builds to production deployment. Your responsibilities on these systems will include but will not be limited to engineering, deployment, provisioning, and maintenance of the server infrastructure, as well as research and development to ensure continual innovation. As a lead level position, you will additionally be expected to offer guidance to junior members of the team, offer mentoring, and technical performance reviews. Responsibilities Architect infrastructure in AWS Own and drive projects development to delivery Work closely with software engineers and tech leadership to drive projects Build and run production environments in AWS using Infrastructure as code methods Orchestrate environment development using Terraform and Ansible Build & Deploy CI pipeline automation to a combination of Kubernetes/Docker and VM based systems in AWS Work closely with System Architects, Engineers, Product Managers and System Administrators to meet their environment setup and service automation needs Develop processes to make DevOps as part of the engineering development, service deployment and operations lifecycle Develop scripts for deployment, troubleshooting, automation, and regular maintenance System monitoring & analytics Regularly review work product and progress of team members to ensure best practices are being followed Conduct team training sessions on technology and features used by Maruti Provide guidance and mentor junior DevOps engineers Comply with Company Information Security policies and procedures and report any incident that is related to information security
FIND ON MAP