Submit your application here : https://saarthee.keka.com/careers/jobdetails/8544 At Saarthee, we are on a mission to drive actionable insights and real-world impact through data. As a fast-growing, women-owned analytics consulting firm, we work with some of the most respected global clients, helping them solve high-impact problems through a combination of cutting-edge analytics, industry experience, and a culture of ownership and excellence. We are looking for Analytics Leads who can combine deep analytical thinking with strong project and people management skills. This is a client-facing role where youll lead complex, cross-functional data projects, work closely with global stakeholders, and act as the bridge between business strategy and data execution. The ideal candidate is hands-on, analytical, solutions-oriented, and equally comfortable managing technical teams, engaging with clients, and driving results. You will be working closely with the Founders and leadership across Saarthee's Onsite and Offshore teams, ensuring high-quality delivery and client success. Key Responsibilities Independently lead client engagements and manage global analytics delivery teams across time zones. Build and maintain strong client relationships, acting as a strategic advisor to institutionalize data-driven decision-making. Identify opportunities to create business impact through data and drive end-to-end project execution. Use project management tools to lead stakeholder discussions, track deliverables, manage risks, and ensure timely outcomes. Deliver high-quality analytics solutions including data modeling, insights generation, and actionable recommendations aligned to client KPIs. Design and implement robust analytics and reporting platforms, including tool selection (ETL, database, visualization). Consult on advanced statistical models and machine learning strategies where applicable. Guide, mentor, and grow a team of consultants; lead knowledge sharing and capability-building initiatives. Collaborate closely with internal teams for smooth project ramp-ups, analyst deployment, and quality assurance. Required Skills & Qualifications 3+ years of hands-on experience in data analytics, project management, or client engagement roles. Strong analytical background with proficiency in SQL, Tableau, Python, or similar tools. (Experience with Knime is a plus). Proven experience leading pilot projects, managing multiple workstreams, and solving open-ended business problems. Excellent communication, stakeholder management, and critical thinking skills. Ability to operate in fast-paced, ambiguous environments and deliver high-quality outcomes independently and as a team leader. What We Offer Competitive compensation packages that reward performance and ownership. Accelerated career growth in a startup environment backed by structured mentorship and leadership exposure. A collaborative and high-performance culture built on trust, empathy, and results. Exposure to global clients and strategic business challenges across industries. Comprehensive health insurance and wellness benefits. An inclusive, people-first workplace that values continuous learning, innovation, and transparency. About Saarthee: Saarthee is global analytics consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthees holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. At Saarthee, we dont just solve data problems we shape careers, unlock business value, and build future-ready leaders. If you are ready to lead from the front and make an impact, wed love to hear from you.

Position Summary: We are looking for an experienced Backend Engineer with strong expertise in data engineering to join our team. In this role, you will be responsible for designing and developing scalable data delivery solutions within our AWS-based data warehouse ecosystem. Your work will support business intelligence initiatives by powering dashboards and analytics tools that provide key insights to support strategic decision-making — including enhancing market performance and optimizing songwriter partnerships. Key Responsibilities: Design, develop, and maintain end-to-end ETL workflows and data integration pipelines using AWS tools. Collaborate closely with product managers, software developers, and infrastructure teams to deliver high-quality backend data solutions. Develop and refine stored procedures to ensure efficient data retrieval and transformation. Implement API integrations for seamless data exchange between systems. Continuously identify opportunities to automate and improve backend processes. Participate actively in Agile/Scrum teams, contributing to sprint planning, reviews, and retrospectives. Apply industry best practices to ensure clean, reliable, and scalable data operations. Communicate effectively with both technical stakeholders and cross-functional teams. Rapidly learn and implement new tools and technologies to meet evolving business needs. Required Skills & Experience: 8–10 years of experience in backend or data engineering roles. Strong background in data architecture, including modeling, ingestion, and mining. Hands-on experience with AWS services, including: S3, Glue, Data Pipeline, DMS, RDS, Redshift, Lambda. Proficient in scripting and development using Python, Node.js, and SQL. Solid experience in data warehousing and big data environments. Familiarity with SQL Server and other relational database systems. Proven ability to work effectively in an Agile/Scrum environment. Strong problem-solving skills with a focus on delivering practical, scalable solutions. Nice to Have: AWS certifications (e.g., AWS Certified Data Engineer or Solutions Architect). Exposure to CI/CD practices and DevOps tools. Understanding of data visualization platforms such as Tableau or Power BI. Show more Show less

Position Summary We are seeking a dynamic Analyst / Sr. Analyst – Workday HCM professional to support, enhance, and drive operational efficiencies within the Human Resources function, specifically focusing on Recruitment or Compensation & Benefits modules. This role serves as a strategic partner to internal stakeholders, translating business needs into technical configurations and supporting end-to-end HR process optimization. The position requires close collaboration with global HR teams, senior business leadership, and cross-functional stakeholders across our supported footprint. Key Responsibilities: Workday Configuration & Support: Configure and maintain Workday Recruiting module functionalities, including requisition creation, job postings, candidate lifecycle management, offer workflows, and onboarding processes. OR/AND configure and support Workday Compensation & Benefits , including HCM Core, calculated fields, Payroll, and Benefit modules with the ability to create complex Plan Eligibility and Compensation rules. Support advanced functionality within Advanced Compensation (good to have). Understand and apply Workday security domains , maintaining appropriate access and controls over business processes. Act as a Subject Matter Expert (SME) for Recruiting, Compensation, or Learning modules, advising on system capabilities and process improvements. Project & Stakeholder Management: Lead functional initiatives and Workday projects, providing deep domain knowledge and acting as the liaison between HR and technical teams. Collaborate with internal clients to analyze requirements, identify process gaps, and deliver effective Workday solutions. Manage and resolve support tickets and operational issues efficiently, ensuring business continuity. Reporting & Analysis: Provide insights across modules (Recruiting, Compensation & Benefits) with an understanding of Workday reporting and inter-module data relationships. Develop, maintain, and optimize reports to support data-driven decision-making across HR functions. Qualifications & Experience: Bachelor’s degree required; equivalent experience may be considered. 5+ years of hands-on experience with Workday HCM, specializing in either Recruiting or Compensation & Benefits modules. Proven expertise in Workday configuration, integrations, and process optimization . Experience with Workday security frameworks, calculated fields, and eligibility rule creation. Ability to manage both structured and fast-paced, ambiguous environments with shifting priorities. Strong analytical, problem-solving, organizational, and consultative skills. Excellent customer service orientation with a strong ability to collaborate within a global team environment . Show more Show less

About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with oneobjective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations to wards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. Position: Recruiter Internship Duration : 3 Months Location: Gurgaon Stipend : INR 15000 Per Month Work Mode : Hybrid (3 Days WFO) Min-Max Experience : 0-1 Years Position Summary: We are seeking a motivated, detail-oriented, and enthusiastic Recruitment Intern to join our Human Resources / Talent Acquisition (TA) team. This internship offers a unique opportunity to gain hands-on experience in the end-to-end recruitment lifecycle, from sourcing and screening candidates to interview coordination and stakeholder engagement. As a Recruitment Intern , you will play a key role in supporting the hiring process, contributing to team growth, and helping build a high-quality talent pipeline for various business needs. Your Role Responsibilities and Duties: Source potential candidates through LinkedIn, job portals, social media platforms, and referrals. Maintain contact with talent pool candidates and gather market intelligence to support recruitment planning. Screen resumes and assist in the initial shortlisting of candidates based on job requirements. Coordinate and schedule interviews with internal stakeholders and hiring managers. Update and maintain candidate databases and Applicant Tracking Systems (ATS). Assist in employer branding activities and campus outreach programs . Track and prepare weekly/monthly recruitment reports and key metrics . Maintain clear and proactive communication with candidates throughout the recruitment cycle. Required Skills and Qualifications: Pursuing or recently completed a Bachelor’s degree in Human Resources, Business, Psychology, or a related field. Quick learner with the ability to understand diverse technical and functional job requirements . Strong verbal and written communication skills in English. Proficiency in Microsoft Office / Google Workspace (Docs, Sheets, Slides). Demonstrated ability to work independently as well as part of a team. Willingness to work flexible hours , if needed, based on recruitment priorities. Highly organized, with strong attention to detail and the ability to manage multiple tasks. Eagerness to learn , take initiative, and thrive in a fast-paced, deadline-driven environment. Strong work ethic, professionalism, and commitment to confidentiality. What You will Gain: Real-time exposure to the full recruitment cycle and ATS platforms . Understanding of recruitment strategies, sourcing channels, and candidate engagement. Insight into market mapping, talent branding, and data-driven hiring. Opportunity to collaborate with seasoned HR professionals and business teams. A potential path to full-time employment based on performance

About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with oneobjective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations to wards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. Position: Recruiter Internship Duration : 3 Months Location: Gurgaon Stipend : INR 15000 Per Month Work Mode : Hybrid (3 Days WFO) Min-Max Experience : 0-1 Years Position Summary: We are seeking a motivated, detail-oriented, and enthusiastic Recruitment Intern to join our Human Resources / Talent Acquisition (TA) team. This internship offers a unique opportunity to gain hands-on experience in the end-to-end recruitment lifecycle, from sourcing and screening candidates to interview coordination and stakeholder engagement. As a Recruitment Intern , you will play a key role in supporting the hiring process, contributing to team growth, and helping build a high-quality talent pipeline for various business needs. Your Role Responsibilities and Duties: Source potential candidates through LinkedIn, job portals, social media platforms, and referrals. Maintain contact with talent pool candidates and gather market intelligence to support recruitment planning. Screen resumes and assist in the initial shortlisting of candidates based on job requirements. Coordinate and schedule interviews with internal stakeholders and hiring managers. Update and maintain candidate databases and Applicant Tracking Systems (ATS). Assist in employer branding activities and campus outreach programs . Track and prepare weekly/monthly recruitment reports and key metrics . Maintain clear and proactive communication with candidates throughout the recruitment cycle. Required Skills and Qualifications: Pursuing or recently completed a Bachelor’s degree in Human Resources, Business, Psychology, or a related field. Quick learner with the ability to understand diverse technical and functional job requirements . Strong verbal and written communication skills in English. Proficiency in Microsoft Office / Google Workspace (Docs, Sheets, Slides). Demonstrated ability to work independently as well as part of a team. Willingness to work flexible hours , if needed, based on recruitment priorities. Highly organized, with strong attention to detail and the ability to manage multiple tasks. Eagerness to learn , take initiative, and thrive in a fast-paced, deadline-driven environment. Strong work ethic, professionalism, and commitment to confidentiality. What You will Gain: Real-time exposure to the full recruitment cycle and ATS platforms . Understanding of recruitment strategies, sourcing channels, and candidate engagement. Insight into market mapping, talent branding, and data-driven hiring. Opportunity to collaborate with seasoned HR professionals and business teams. A potential path to full-time employment based on performance

About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are a onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. Position Summary: We are looking for Analytics Lead to join our growing team of data analytics experts to support and implement high-quality, data-driven decisions. We are looking for candidates who are skilled and hands-on with solving the most difficult technical aspects of data and analytics projects. This is a client-facing role, and we are looking for candidates who are comfortable working independently, as a team lead and client engagement managers at the same time. The Analytics Consultant at Saarthee will work closely with the Founders and the leaders across the Onsite and Offsite teams. The Analytic Lead will lead essential analysis across multiple functions and solve a broad range of critical and complex problems. The ideal candidate will be data-driven, analytical, detail oriented, an effective communicator and highly collaborative. Responsibilities and Duties: Lead the client engagement independently with the help of team across globe content support for new opportunities, creating toolkits, and ensuring client success. Engage with clients to identify opportunities to institutionalized analytics across client organizations. Utilize project management tools like Microsoft Project to ensure regular client update meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution and success metrics effectively and efficiently. Proactively identify potential issues and drive resolution to avoid customer impact and facilitate continuous improvement. Lead by example in analytics delivery and guide the team in data synthesis, modeling techniques and culling out actionable insights, implications, and recommendations to address clients- business KPIs and/or identify opportunities. Assist with ramp up activities including selection/evaluation of analyst and project allocation and align ramp-up plan to current and future projects. Closely liaise with Internal partner team and provide regular updates on project delivery covering aspects such as quality, timelines, risk, and issue Management. Design the analytics and reporting platform. Define the architecture of the platform and recommend database software, ETL tool, analytics tool and visualization tool to be used. Provide consultation and guidance regarding the implementation of analytics driven business strategies including advance statistics and machine learning problems. Lead a team of consultants and encourage to develop new capabilities through learning and development and knowledge sharing initiatives. Skills: 5+ years’ experience in data/analytics/project management roles Superior communication and interpersonal skills Superior Critical Thinking, Problem Solving, Open-ended Problem-Solving. Experience with running Pilot Projects an added must Expertise in SQL, Tableau, Python or other ETL tools (Knime will be a plus) Ability to manage multiple moving projects. Compensation: Above industry standards What we offer: Competitive compensation packages that reward high performance Fast track career with supportive culture that facilitates 360 degrees learning Collaborative team-based environment with mentorship from the Industry leaders Comprehensive benefit package including Health Insurance Empathetic Result-Driven Work Culture Show more Show less

About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. Position Summary: We are looking for a skilled Statistical Programmer with strong R Programming experience to join our growing team. This is a remote opportunity tailored for professionals passionate about clinical data analysis and programming, with expertise in CDISC standards . Your Role Responsibilities and Duties: Develop, validate, and maintain SDTM, ADaM datasets, and TLFs as per CDISC guidelines. Perform efficacy analyses using R programming. Work independently on studies and support clinical trial submissions. Collaborate with cross-functional teams in an FSP environment. Debug and utilize standard macros efficiently. Preferred involvement in integrated summaries (ISS/ISE). Required Skills and Qualifications: 6 to 8 years of relevant experience in statistical programming Minimum 3 years of hands-on experience with R programming. Strong knowledge and working experience with CDISC standards: SDTM, ADaM, and TLF. Exposure to efficacy analysis . Study-level handling experience (for senior-level profiles). Preferred Skills: Experience with CRT package (Trial Data Domain). Prior involvement in ISS and ISE . Experience in an FSP environment . Familiarity with standard macro debugging and utilization.

About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are a onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India We are seeking a talented Talent Acquisition Executive/Lead. The ideal candidate will be responsible for driving talent acquisition strategies to support our company's growth objectives. You will work closely with the HR department, business leaders, and hiring managers to identify, attract, and hire top talent in the industry. If you are passionate about building high-performing teams and have a proven track record of sourcing, hiring, and retaining top talent in the data analytics industry and related, we encourage you to apply for this exciting opportunity. Key Responsibilities: Technical Talent Acquisition: Lead the end-to-end recruitment process for roles in Data Engineering, Data Science, and Data Analytics, including software engineers, data scientists, machine learning engineers, and data architects. Utilize your technical expertise to assess candidates' proficiency in programming languages (Python, Java, Scala), data pipelines (ETL, Kafka), cloud platforms (AWS, Azure, GCP), and big data technologies (Hadoop, Spark). Technical Screening & Assessment: Design and implement rigorous technical assessment processes, including coding tests, algorithm challenges, and system design interviews, to ensure candidates meet the high technical standards required for our projects. Stakeholder Collaboration: Partner with CTO, Engineering Leads, and Data Science teams to understand the specific technical requirements of each role. Translate these needs into effective job descriptions, recruitment strategies, and candidate evaluation criteria. Pipeline Development: Build and maintain a robust pipeline of highly qualified candidates by leveraging networks, industry events, online platforms (GitHub, Stack Overflow), and advanced sourcing techniques such as Boolean search, AI-driven talent matching, and targeted outreach. Industry Expertise: Stay current with trends in Data Engineering, Data Science, and Analytics, including advancements in AI/ML, data warehousing (Snowflake, Redshift), real-time analytics, and DevOps practices. Use this knowledge to proactively identify and engage with potential candidates who are at the forefront of these fields. Diversity & Inclusion in Tech: Implement strategies to ensure diverse and inclusive hiring practices, focusing on underrepresented groups in technology. Develop partnerships with organizations and communities that support diversity in tech. Talent Development & Retention: Work with technical leadership to create clear career pathways for data and engineering professionals within the company. Support ongoing training and development initiatives to keep teams updated with the latest technologies and methodologies. Qualifications: Experience: 3+ years in Talent Acquisition, with significant experience recruiting for Data Engineering, Data Science, Data Analytics, and Technology roles in high-growth or technically complex environments. Technical Knowledge: Strong background in the technologies and tools used in Data Engineering, Data Science, and Data Analytics, including but not limited to: AI-ML Programming languages: Python, R, Java, Scala Big Data technologies: Hadoop, Spark, Kafka Cloud platforms: AWS, Azure, GCP Data processing: ETL, data pipelines, real-time streaming Analytics and BI tools: Tableau, Power BI, Looker Leadership: Proven experience in building teams with a focus on technical roles, driving strategies that result in successful, high-impact hires. Analytical & Data-Driven: Expertise in using data to guide recruitment decisions and strategies, including metrics on sourcing, pipeline health, and hiring efficiency. Communication: Excellent ability to communicate complex technical requirements to both technical and non-technical stakeholders. Commitment to Excellence: A relentless focus on quality, with a keen eye for identifying top technical talent who can thrive in challenging, innovative environments. Soft Skills: Problem-Solving: Strong analytical and troubleshooting skills. Collaboration: Excellent teamwork and communication skills to work effectively with cross-functional teams. Adaptability: Ability to manage multiple tasks and projects in a fast-paced environment. Attention to Detail: Precision in diagnosing and fixing issues. Continuous Learning: A proactive attitude towards learning new technologies and improving existing skills Excellent Verbal and Writing skills.

The Machine Learning Engineer role focuses on enhancing interactions across user gaming experiences and systems by designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems efficiently. You will have the opportunity to create exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Immersion in cutting-edge ML technologies, tools, and processes is a key aspect, contributing to the advancement of technical objectives and architectural initiatives. As an ML Engineer, your responsibilities include designing and developing machine learning models and algorithms tailored to various applications. Implementation and optimization of these models are crucial tasks, alongside collaborating with cross-functional teams to integrate the models into production systems effectively. Staying updated with the latest advancements in machine learning and AI technologies is essential to ensure solutions remain cutting-edge and effective. Your tasks will involve: - Developing, implementing, and optimizing machine learning models for applications such as predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering. - Utilizing state-of-the-art machine learning and deep learning technologies for multilingual text classification, language modeling, and multi-modal learning. - Collaborating with cross-functional teams to understand business requirements and translate them into analytical solutions. - Conducting thorough exploratory data analysis to uncover patterns, trends, and valuable insights. - Deploying machine learning models into production environments using AWS services and implementing scalable solutions for real-time and batch predictions. Required Skills and Qualifications: - Bachelor's degree in computer science, Engineering, Statistics, or a related field. - 5+ years of working experience in advanced machine learning areas like computer graphics, reinforcement learning, recommendation systems, and natural language processing. - Proficiency in Python programming and experience with PyTorch, TensorFlow, or similar frameworks. - Experience in designing and implementing machine learning-based solutions, including online safety, conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. - Strong machine learning, statistical, and analytical skills. What We Offer: - Bootstrapped and financially stable with high pre-money evaluation. - Above industry remunerations. - Additional compensation tied to Renewal and Pilot Project Execution. - Additional lucrative business development compensation. - Opportunity to work closely with industry experts driving strategy with data and analytics. - Firm building opportunities for holistic professional development, growth, and branding. - Empathetic, excellence, and result-driven organization that believes in mentoring and growing a team with a constant emphasis on learning.,

About Saarthee: At Saarthee , we pride ourselves on being a leader in data analytics and technology solutions , offering innovative and value-driven outcomes to our clients. As an Adobe Partner , we help businesses unlock their potential through seamless integration and optimization of Adobe's cutting-edge tools. We are seeking a motivated and skilled Adobe Sales Specialist to join our growing team and drive success across the US, UK, and India markets. This role requires strong leadership, communication, collaboration and networking skills. Proven understanding of an enterprise sales environment and the ability cultivate relationships will be beneficial in establishing credibility with sales leadership and business partners. Key Responsibilities: Lead Generation & Business Development: Identify, engage, and pursue new business opportunities related to Adobe solutions, including Adobe Campaign, Adobe Experience Manager (AEM), and Adobe Experience Cloud products. Consultative Sales Approach: Understand client needs and provide tailored recommendations for Adobe solutions, delivering product demonstrations and showcasing value propositions. Sales Strategy Execution: Develop and execute robust sales strategies to achieve revenue goals and market expansion in key regions. Client Relationship Management: Build and nurture long-term client relationships, ensuring satisfaction and driving repeat business. Collaboration Across Teams: Partner with pre-sales, marketing, and delivery teams to ensure smooth client onboarding and solution implementation. Market Awareness: Stay informed about Adobe product updates, competitor activities, and industry trends to refine sales pitches and maintain a competitive edge. Documentation & Reporting: Prepare detailed proposals, RFP responses, and maintain accurate records of sales activities, pipelines, and forecasts using CRM tools. Qualifications & Skills: 5+ years leading regional and/or global enterprise sales enablement programs Proven experience in sales or business development, preferably focused on Adobe Experience Cloud solutions such as Adobe Campaign or AEM. Strong knowledge of digital marketing, data analytics, and SaaS solutions. Excellent communication, negotiation, and presentation skills. Demonstrated ability to meet or exceed sales targets in a fast-paced B2B environment. Ability to establish and build close working relationships. Possess strong personal credibility while being a focused planner and decision-maker Experience working in global markets, especially US, UK, and India, is a plus. Adobe product certifications (e.g., Adobe Campaign, AEM) are highly desirable. . What we Offer: Bootstrapped and financially stable with high pre-money evaluation. Above industry renumerations. Additional compensation tied to Renewal and Pilot Project Execution. Additional lucrative business development compensation. Firm building opportunities that offer stage for holistic professional development, growth, and branding. Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning At Saarthee, we believe in fostering an inclusive and diverse workplace committed to creating a culture of growth and collaboration. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

The ideal candidate will conduct quantitative and qualitative analysis across various projects to optimize company growth and business. You will manipulate datasets, create models, and summarize findings in a succinct manner for client's usage. Responsibilities Clean and organize large datasets for analysis and visualization using statistical methods; verify and ensure accuracy, integrity, and consistency of data Identifying trends and patterns in data and using this information to drive business decisions Create the requirement artefacts e.g., Functional specification document, use cases, requirement traceability matrix, business test cases and process mapping documents, user stories for analytics projects Build highly impactful and intuitive dashboards that bring the underlying data to life through insights Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations Operational Excellence Improve data quality by using and improving tools to automatically detect issues Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas Stakeholder Management Work with high-performing Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of visual analytical applications, from development of mock-ups and storyboards to complete production ready application Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business Create compelling documentation or artefacts that connects business to the solutions Coordinate internally to share key learning with other teams and lead to accelerated business performance Qualifications Bachelor’s degree in computer science, Information Management or related technical fields Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.) Working understanding of Statistical modelling using Analytical tools (Python, PySpark, R, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server, etc.), and non-relational (MongoDB, DynamoDB) database management systems Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Cloud computing services in Azure/AWS/GCP for analytics

As a Talent Acquisition Executive/Lead at Saarthee, you will play a pivotal role in driving talent acquisition strategies to support the company's growth objectives. Your primary responsibility will be to collaborate with the HR department, business leaders, and hiring managers to identify, attract, and hire top talent in the data analytics industry and related fields. If you are passionate about building high-performing teams and have a proven track record in sourcing, hiring, and retaining top talent, this exciting opportunity is for you. Your key responsibilities will include leading the end-to-end recruitment process for technical roles in Data Engineering, Data Science, and Data Analytics. This will involve assessing candidates" proficiency in programming languages such as Python, Java, and Scala, data pipelines like ETL and Kafka, cloud platforms including AWS, Azure, and GCP, as well as big data technologies like Hadoop and Spark. You will design and implement technical assessment processes to ensure candidates meet the high technical standards required for projects and collaborate with stakeholders to understand specific technical requirements for each role. Furthermore, you will be responsible for building and maintaining a robust pipeline of highly qualified candidates using various sourcing techniques and staying updated with industry trends in Data Engineering, Data Science, and Analytics. Your role will also involve implementing strategies to ensure diverse and inclusive hiring practices, focusing on underrepresented groups in technology, and working on talent development and retention initiatives within the company. To be successful in this role, you should have at least 4 years of experience in Talent Acquisition, with a strong background in recruiting for Data Engineering, Data Science, and Technology roles. You should possess technical knowledge in AI/ML, programming languages like Python, R, and Java, big data technologies such as Hadoop and Spark, cloud platforms like AWS, Azure, and GCP, and analytics tools like Tableau and Power BI. Leadership skills, analytical thinking, excellent communication, and a commitment to excellence are essential qualities required for this position. In addition to technical skills, soft skills such as problem-solving, collaboration, adaptability, attention to detail, continuous learning, and excellent verbal and writing skills are also crucial for success in this role. If you are ready to take on the challenge of shaping the talent acquisition strategy for a dynamic and innovative company like Saarthee, we encourage you to apply for this role and be a part of our journey towards success.,

Position Summary We are looking for a Senior Analyst to join our growing team of data analytics experts to support and implement high-quality, data-driven decisions. We are looking for candidates who are skilled and hands-on with solving the most difficult technical aspects of data and analytics projects. This is a client-facing role and we are looking for candidates who are comfortable working independently, as a team lead and client senior analyst at the same time. The Senior Analyst will work closely with the leads across the Onsite and Offsite teams. Essential Duties And Responsibilities Understand a problem statement and implement analytical solutions and techniques independently or with minimal supervision Use problem solving methodologies to propose creative solutions to solve business problem. Recommend design and develop state-of-the-art data driven analysis using statistical and advanced analytics methodologies to solve business problems Conduct research, requirements gathering, solution scoping and data collection Develop models and recommend insights. Form hypothesis and run experiments to gain empirical insights and validate hypothesis. Identify and eliminate possible obstacles and identify alternative creative solution Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques Ensure regular client updates and meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution and success metrics is done effectively and efficiently Represent clarity at client meetings with a goal of increasing face time with key executives and decision makers Proactively identify potential issues and drive resolution to avoid customer impact and facilitate continuous improvement Provide consultation and guidance regarding the implementation of data science and analytics driven business strategies including advance statistics and modeling problems Provide support to data analytics engineers in development across Saarthee products. - Communicate results and the value of the results to business leaders - Develop and enhance Saarthee proprietary intellectual property Develop solutions to enhance the self-service analytics capabilities aligning with the steadily changing business requirements Lead a team of Analyst and take inputs from Associate/Engagement Manager to accomplish goals set in the weekly/monthly plan. Required Skills And Qualifications Strong academic record from premier institutes with bachelor's in Electronics and Communication Engineering, Electrical Engineering, Computer Science, Mathematics or closely related fields. Minimum 2+ years of experience in analytics delivery and management consulting working with ETL, Business Intelligence, Data Quality, Data Analytics Strong Analytical thinking and client management experience with hands-on experience in problem-solving with proficiency with standard analytics tools (e.g. , R, Mathematica, Python) with broad experience in data warehouse and business intelligence tools (BI, ETL, Data Quality and RDBMS tools/platforms) Excellent understanding of data warehouses / data-marts and dimensional data models Proficient in SQL. Proficient in data analytics, reporting and integration platform like Python, Knime, Tableau Excellent client management and engagement skills. Effective presence & communication skills- both interpersonal & written and the ability and willingness to take a hands-on execution role where required to support client needs and team development Highly organized with an ability to work under tight deadlines and shifting priorities Excellent oral and written communication skills Team-leadership and independent problem solving ability What We Offer Competitive compensation packages that reward high performance Fast track career with supportive culture that facilitates 360 degrees learning Collaborative team-based environment with mentorship from the Industry leaders Comprehensive benefit package including Health Insurance (ref:hirist.tech)

Position Summary We are looking for Seniors to join our growing team of data analytics experts to support and implement high-quality, data-driven decisions. We are looking for candidates who are skilled and hands-on with solving the most difficult technical aspects of data and analytics projects. This is a client-facing role and we are looking for candidates who are comfortable working independently, as a team lead and client engagement managers at the same time. Responsibilities The Analytics Manager will work closely with the Founders and the leaders across the Onsite and Offsite duties and responsibilities : An Analytics Manager is responsible for overseeing the design, development, and implementation of data analysis and reporting systems. The role involves leading a team of data analysts and ensuring the accurate and timely delivery of data-driven insights to support business decision-making. Develop and implement analytics strategies and plans to meet business objectives. Design the analytics and reporting platform. Define the architecture of the platform and recommend database software, ETL tool, analytics tool, and visualization tool to be used. Manage and mentor a team of data analysts to ensure the delivery of high-quality data insights. Lead by example in analytics delivery and guide the team in data synthesis, modeling techniques and culling out actionable insights, implications, and recommendations to address clients- business KPIs and/or identify opportunities. Engage with clients to identify opportunities to institutionalize analytics across client organizations and collaborate with stakeholders to gather and define business requirements for data analysis and reporting. Design, develop, and maintain data analytics systems and dashboards to meet client needs. Ensure data accuracy, integrity, and security through effective data management practices. Communicate complex data insights in a clear and concise manner to non-technical stakeholders. Identify and implement opportunities for process improvement. Utilize project management tools to ensure regular client meetings, stakeholder management, data sources, tracking execution and success metrics effectively and efficiently. Stay up to date with emerging trends and technologies in the field of data Skills and qualifications : Bachelor's degree in a related field, such as mathematics, statistics, computer science, or engineering. Significant experience in data analytics, with an excellent understanding of data warehouses / data-marts and dimensional data models Experience leading and managing a team of data analysts. Knowledge of SQL, R, Python, or similar programming languages for data analysis and manipulation. Experience with data visualization tools such as Tableau or Power BI Strong problem-solving skills and ability to work independently and in a team environment. Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical stakeholders. Knowledge of data privacy and security best practices, and experience with data governance. Familiarity with cloud computing platforms such as AWS is a plus. Excellent client management and engagement skills. Effective presence & communication skills- both interpersonal & written and the ability and willingness to take a hands-on execution role where required to support client needs and team development. Highly organized with an ability to work under tight deadlines and shifting priorities. Excellent oral and written communication skills. Team Management and Mentoring (ref:hirist.tech)

About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are a onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India Position Summary: This is a full-time role with some flexibility for remote work. The Inside Sales Executive will be responsible for lead generation, account management, client consulting, and ensuring maximum client engagement. This role involves proactive outbound prospecting, qualifying leads and setting qualified meetings through personalized emails and calling. The Inside Sales Executive will work closely with sales team members, collaborate with marketing, and use effective communication skills to build strong customer relationships. Your Role: The Sr. Sales Executive – Inside Sales is a pivotal role which requires a combination of strategic thinking, leadership skills, and a deep understanding of the global market dynamics and the capabilities of the company. You will work closely with the cross-functional teams, including marketing, product development, and operations, to ensure a cohesive approach to sales and overall business success. Responsibilities and Duties- Generate leads based on in-depth, geo / industry / product research & competitor analysis for focused verticals through web and social media. Effectively and efficiently drive demand generation (prospecting, qualifying, nurturing). Manage inside sales activities on LinkedIn Sales Navigator. Cold calls, Execution for campaigns, outreach, and communication on the Sales Navigator platform. Assist in activation and running of various communications geo/ industry / product campaigns using various mediums (including email, phone & events campaigns). Stay abreast of market developments, understand competitor trends. Analyze and use the same for targeting potential prospects. Persistently follows up with client in a clear & timely manner to ensure on building lasting relations. Communicate clearly and gauges verbal and non-verbal cues of the prospects and aims to maximize on them. Manage outreach with prospects and leads in the long-haul, and strategically reach out to them over the customer/lead lifetime. Maintain knowledge of current and emerging technologies, trends, and products. Required Skills and Qualifications: Minimum 3 years of experience in the software Industry with experience in the sector of BFSI, Retail, Automotive, Media & Entertainment, Telecom etc. Prior experience in Inside Sales or a related role in the geography of APAC and EMEA is required. Prior experience in B2B Enterprise Sales/Cloud Sales/Saas Sales/Tech selling is a must. Experience in Sales Navigator & Other tools (Apollo/Zoho CRM/GMass/Salesforce/Kendo/Lusha/Seamless AI) are required. Bachelor’s degree (or equivalent work experience) in business, marketing, and sales or related field of study. Ability to self-motivate and multi-task and work independently or within a team. Good written and verbal communication skills. Additional Information: This job description is a summary of the essential functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. The responsibilities, tasks, and duties of the jobholder might differ from those outlined in the job description. Other duties, as assigned by the supervisor, might be part of the job.

As a Capital Markets Analyst, you will play a crucial role in leveraging your expertise in SQL, Python, and financial data analysis to contribute to the development of data-driven solutions in the realms of trading, risk, and post-trade operations. Your technical acumen and capital markets knowledge will be instrumental in enhancing decision-making processes and streamlining workflows for various stakeholders. Your responsibilities will include designing, building, and maintaining SQL queries and Python scripts to analyze trading, risk, and reference data across different asset classes. You will collaborate closely with trading desks, risk managers, and compliance teams to translate business requirements into scalable technical solutions. Additionally, you will develop and automate tools to enhance trade lifecycle processes, reconciliation, and reporting efficiency while also playing a role in modernizing post-trade operations in alignment with regulatory requirements. To excel in this role, you should possess 4-8 years of experience in capital markets, preferably within trading, risk, or operations functions. Advanced proficiency in SQL and Python for data analysis and automation is essential, along with a solid understanding of financial instruments like equities, fixed income, and derivatives. Experience with regulatory frameworks such as Dodd-Frank, Basel III, or T+1 settlement initiatives would be advantageous. Strong analytical thinking, problem-solving skills, and effective communication abilities are key traits that will enable you to engage with cross-functional stakeholders effectively. Ideally, you should also be familiar with data visualization platforms like Power BI, Tableau, and cloud environments such as Azure or AWS. A Bachelor's or Master's degree in Finance, Economics, Computer Science, or a related field will be beneficial for this role. Joining our team will offer you the opportunity to be part of a collaborative and innovative environment where you can make a significant impact at the intersection of finance and technology. If you are passionate about capital markets and enjoy transforming data into actionable insights, we are excited to hear from you.,

We are seeking a skilled Statistical Programmer with a strong background in R Programming to become a valuable addition to our expanding team. This remote position is ideal for individuals who are enthusiastic about clinical data analysis and programming, particularly those with a deep understanding of CDISC standards. As a Statistical Programmer, your main responsibilities will include developing, validating, and managing SDTM, ADaM datasets, and TLFs in compliance with CDISC guidelines. You will be conducting efficacy analyses using R programming, working autonomously on studies, and providing support for clinical trial submissions. Collaboration with various teams in an FSP environment will be crucial, along with efficient debugging and utilization of standard macros. If you have experience with integrated summaries (ISS/ISE), it is considered a plus. The ideal candidate should possess 6 to 8 years of relevant experience in statistical programming, with a minimum of 3 years of hands-on experience in R programming. A strong working knowledge of CDISC standards such as SDTM, ADaM, and TLF is essential, along with exposure to efficacy analysis. Senior-level profiles should have experience in handling studies at the study level. Preferred skills for this role include familiarity with the CRT package (Trial Data Domain), previous involvement in ISS and ISE, experience in an FSP environment, and proficiency in standard macro debugging and utilization. In return, we offer a bootstrapped and financially stable environment with an above-industry renumeration package. Additional compensation is tied to Renewal and Pilot Project Execution, along with lucrative business development incentives. Our organization provides opportunities for firm building and holistic professional development, emphasizing empathy, excellence, and results. We believe in mentoring and nurturing our team members, with a continuous focus on learning and growth.,

About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. About the Role: We are seeking experienced and motivated Capital Markets Analysts to join our dynamic team. The ideal candidate will have strong technical skills in SQL and Python combined with an in-depth understanding of trading, risk management, and post-trade operations. This role requires close collaboration with business teams to drive data-driven decision-making and operational efficiency across capital markets functions. Key Responsibilities: Develop and maintain complex SQL queries and Python scripts to support analytics across trading, risk, and reference data. Partner with trading, risk, and compliance teams to convert business requirements into scalable technical solutions. Automate manual workflows and assist in building internal tools for trade processing and reconciliation. Contribute to post-trade optimization efforts with a focus on T+1 settlement and evolving regulatory reporting needs. Create and maintain technical documentation, data dictionaries, and internal control frameworks. Support cross-functional initiatives to improve data transparency and operational workflows. Must-Have Skills: 4–8 years of experience in capital markets, preferably within trading, risk analytics, or operations. Strong command of SQL (advanced queries, data aggregation) and Python for analytics and automation. Sound understanding of financial instruments such as equities, fixed income, and derivatives . Familiarity with the trade lifecycle, market data structures, and post-trade processes. Exposure to regulatory frameworks such as T+1, Dodd-Frank , or Basel is advantageous Excellent problem-solving, communication, and stakeholder management skills Proficiency in data visualization tools like Power BI or Tableau is a plus. Experience with cloud platforms such as Azure or AWS is desirable. Bachelor’s or Master’s degree in Finance, Economics, Computer Science , or related fields. Additional Information: This job description summarizes the core responsibilities and qualifications of the position. It is not an exhaustive list of all possible duties. Other responsibilities may be assigned as required. Why Join Us? Opportunity to work on industry-leading SoC and silicon designs. Collaborate with elite semiconductor design and verification teams. Career advancement in a high-growth and innovative environment. Competitive compensation with long-term opportunities. Bootstrapped and financially stable with high pre-money evaluation. Additional compensation tied to Renewal and Pilot Project Execution.

About Saarthee Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind : Our Customers Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. About The Role We are seeking experienced and motivated Capital Markets Analysts to join our dynamic team. The ideal candidate will have strong technical skills in SQL and Python combined with an in-depth understanding of trading, risk management, and post-trade operations. This role requires close collaboration with business teams to drive data-driven decision-making and operational efficiency across capital markets functions. Key Responsibilities Develop and maintain complex SQL queries and Python scripts to support analytics across trading, risk, and reference data. Partner with trading, risk, and compliance teams to convert business requirements into scalable technical solutions. Automate manual workflows and assist in building internal tools for trade processing and reconciliation. Contribute to post-trade optimization efforts with a focus on T+1 settlement and evolving regulatory reporting needs. Create and maintain technical documentation, data dictionaries, and internal control frameworks. Support cross-functional initiatives to improve data transparency and operational workflows. Must-Have Skills 48 years of experience in capital markets, preferably within trading, risk analytics, or operations. Strong command of SQL (advanced queries, data aggregation) and Python for analytics and automation. Sound understanding of financial instruments such as equities, fixed income, and derivatives. Familiarity with the trade lifecycle, market data structures, and post-trade processes. Exposure to regulatory frameworks such as T+1, Dodd-Frank, or Basel is advantageous Excellent problem-solving, communication, and stakeholder management skills Proficiency in data visualization tools like Power BI or Tableau is a plus. Experience with cloud platforms such as Azure or AWS is desirable. Bachelors or Masters degree in Finance, Economics, Computer Science, or related fields. Additional Information This job description summarizes the core responsibilities and qualifications of the position. It is not an exhaustive list of all possible duties. Other responsibilities may be assigned as required. Why Join Us?? Opportunity to work on industry-leading SoC and silicon designs. Collaborate with elite semiconductor design and verification teams. Career advancement in a high-growth and innovative environment. Competitive compensation with long-term opportunities. Bootstrapped and financially stable with high pre-money evaluation. Additional compensation tied to Renewal and Pilot Project Execution. (ref:hirist.tech)

Full Stack Engineer (.NET Core & React.js) Location : [Specify Location, e.g., Bangalore, Remote, Hybrid] Experience : 5 - 10 Years Employment Type : Full-time Notice Period : [Specify : e.g., Immediate Joiner / 30 the Role Responsibilities We're looking for a highly skilled Full Stack Engineer with strong expertise in both .NET Core for backend development and React.js for building dynamic user interfaces. In this role, you'll be instrumental in designing, developing, and deploying robust, scalable, and user-centric web applications from concept to production. If you're passionate about end-to-end development, thrive in a collaborative environment, and are eager to tackle challenging problems across the stack, we encourage you to Responsibilities : Full Stack Development : Lead the design, development, and maintenance of both frontend and backend components of web applications, ensuring seamless integration and high performance. Backend Engineering Develop secure, scalable, and efficient RESTful APIs and microservices using .NET Core (C#). Design and optimize database schemas and queries, working with relational databases (e.g., SQL Server, PostgreSQL) and potentially NoSQL databases. Implement robust data models, business logic, and backend services. Frontend Engineering Build responsive, intuitive, and high-performance user interfaces using React.js. Translate UI/UX designs and wireframes into high-quality code. Manage state effectively, integrate with backend APIs, and ensure cross-browser compatibility. Architectural Contributions : Contribute to architectural discussions and decisions, promoting best practices in code quality, security, performance, and scalability across the entire application stack. DevOps & Cloud : Work with CI/CD pipelines and deployment strategies. Familiarity with cloud platforms (e.g., AWS, Azure) for deploying and managing applications is a plus. Collaboration & Problem Solving : Collaborate closely with product managers, UI/UX designers, QA engineers, and other developers. Troubleshoot complex issues across the full stack, from frontend rendering to backend performance and database queries. Code Quality : Advocate for and practice clean code, test-driven development (TDD), and thorough unit and integration Skills & Experience : Experience : 5 - 10 years of professional software development experience as a Full Stack Engineer. Backend Expertise Strong proficiency in .NET Core (C#) for building scalable backend applications and APIs. Experience with ASP.NET Core for web API development. Solid understanding of object-oriented programming (OOP) principles and design patterns. Frontend Expertise Strong proficiency in React.js for building modern single-page applications. Expertise in JavaScript (ES6+), HTML5, and CSS3. Experience with state management libraries (e.g., Redux, Context API). API Development : Proven experience in designing, developing, and consuming RESTful APIs. Database Skills : Strong SQL skills with experience in relational databases (e.g., SQL Server, PostgreSQL, MySQL). Version Control : Proficient with Git and collaborative development workflows. Problem-Solving : Excellent analytical, debugging, and problem-solving skills across the full to Have : Experience with other .NET frameworks (e.g., .NET Framework, ASP.NET MVC). Familiarity with cloud platforms such as AWS or Azure. Experience with NoSQL databases (e.g., MongoDB, Cosmos DB). Knowledge of containerization technologies (e.g., Docker, Kubernetes). Experience with CI/CD pipelines (e.g., Azure DevOps, Jenkins, GitHub Actions). Familiarity with Agile development methodologies (Scrum, Kanban) (ref:hirist.tech)