Pipeline Building Jobs in Bengaluru

Talent Acquisition Partner Sales & Pre-Sales Location: Bangalore Job Category: Talent Acquisition Job Schedule: Full-Time Role Overview We are seeking an experienced Talent Acquisition Partner to manage high-volume and critical hiring for Sales and Pre-Sales Engineer roles. The ideal candidate is a proactive recruiter with deep knowledge of the competitive sales talent market, capable of building and managing a strong candidate pipeline from scratch within tight timelines. Key Responsibilities End-to-End Recruitment: Own the full lifecycle for Sales and Pre-Sales roles, including screening, coordination, and offer negotiation. Sourcing Strategy: Proactively source candidates through networking, referrals, events, and direct outreach. Stakeholder Partnership: Partner closely with hiring managers to provide pipeline insights, hiring recommendations, and regular updates. Candidate Experience: Ensure a professional and positive experience for all candidates throughout the process. Compliance: Maintain high standards of ATS documentation and process compliance. Required Skills & Experience Professional Background: 7 10 years of hands-on experience recruiting Sales and Pre-Sales Engineer talent. Stakeholder Management: Proven ability to influence hiring managers and manage expectations in fast-paced environments. Operational Excellence: High attention to detail with the ability to prioritize urgent business needs. Communication: Excellent verbal and written skills with a focus on diplomacy and professionalism. Tools: Proficient with Applicant Tracking Systems (ATS) and modern recruitment tools. Contract Details Duration: 6 months (extendable based on performance and business needs). Availability: Immediate or short notice preferred.

Recruiter / Senior Recruiter Job Category: Administrative / Support Employment Type: Full-Time Location: Bangalore Job Overview We are seeking a talented and results-driven Recruiter/Senior Recruiter to support our growing organization in sourcing and hiring top talent. The ideal candidate will have extensive experience in full-cycle recruitment, preferably in call center or healthcare settings, and excel in a fast-paced, high-volume environment. This role will be responsible for managing end-to-end hiring processes across multiple locations, ensuring a seamless candidate experience and building a strong talent pipeline. Key Responsibilities Review and analyze resumes using ATS software (UKG) and screen candidates for all open positions. Create and manage job requisitions, posting them on job portals and social media platforms (LinkedIn, Facebook, etc.). Source, schedule, and coordinate interviews with candidates and hiring managers daily. Develop accurate job descriptions in collaboration with Hiring Managers. Maintain Open Requisition Reports / MIS and provide weekly updates. Identify innovative sourcing tools and strategies to attract top talent. Build and maintain relationships with staffing agencies and headhunters to expand candidate reach. Conduct compensation discussions and prepare offer letters via UKG for candidate acceptance. Complete all new-hire paperwork and ensure a smooth onboarding experience. Continuously fill the talent pipeline even when there are no immediate open roles. Support employer branding initiatives internally and externally to enhance company presence. Education & Experience Minimum 4+ years of full-cycle recruitment experience. Master s degree in Human Resources. Proven experience in high-volume, fast-paced recruiting environments. Prior experience recruiting for call center or healthcare roles is highly desirable. Demonstrated ability to meet deadlines and work collaboratively in a team-oriented setting. Skills & Competencies Strong sourcing, screening, and candidate assessment abilities. Excellent communication, negotiation, and interpersonal skills. Proficiency in ATS tools, job portals, and social media recruiting. Ability to manage multiple requisitions and prioritize tasks effectively. High level of organization, attention to detail, and process adherence. Benefits Competitive industry compensation. Insurance coverage for self and parents/parents-in-law. Performance-linked bonus. Free office transport (pickup and drop). Free meal vouchers. Qualification : Masters degree in Human Resources

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Sales Development Representative (SDR) Location: Bengaluru Type: Full-Time About Intugine That journey from sourcing to delivery involves a complex global supply chain. Yet many brands struggle with limited visibility, delays, and inefficiencies. Intugine is changing that. We re a leading supply chain visibility platform helping global enterprises like GE Healthcare, Flipkart, Titan, Diageo, and Ultratech Cement gain real-time, multimodal insights across land, air, sea, and rail logistics. Backed by integrations with systems like FASTag, Port Community System, and FOIS, and in partnership with the National Logistics Policy, we provide unmatched visibility and intelligence to optimize delivery times, reduce logistics costs, and drive operational excellence. About the Role: Sales Development Representative We re expanding our Business Development team and looking for Sales Development Representatives (SDRs) who can spark conversations, build relationships, and open doors to new business opportunities. As an SDR, you'll be the first point of contact in outbound prospecting playing a vital role in fueling our sales pipeline. If you're a sharp communicator with a knack for research, hustle, and hustle (yes, we said it twice), this is your launchpad into high-impact enterprise SaaS sales. What You'll Be Doing Research & Prospecting: Identify key accounts and decision-makers within target industries. Outreach: Initiate contact through email, LinkedIn, and cold calls to create interest and qualify leads. Database Management: Maintain and expand a clean, accurate CRM database of prospects. Lead Qualification: Understand prospect needs and align them with Intugine s solutions before handing off to Account Executives. Meeting Booking: Drive pipeline growth by scheduling sales-qualified meetings. Hit Your Targets: Meet or exceed KPIs for outreach, meetings set, and qualified opportunities. Tool Optimization: Experiment with sales enablement tools and tactics to improve outreach effectiveness. Who We re Looking For 1+ years of experience in lead generation or customer-facing roles Experience in SaaS, IoT, or Supply Chain/Logistics is a strong advantage Excellent written and verbal communication skills Quick learner, self-starter, and result-driven mindset Fluent in English and Hindi Familiarity with sales tools (HubSpot or similar CRM, LinkedIn, contact extraction tools) Comfortable making high-volume outbound calls Ability to connect with both decision-makers and end users What Makes You a Great Fit You're energized by challenges and love the thrill of opening new conversations. You're organized, persistent, and can handle rejection with grace. You take initiative, constantly look to improve your game, and celebrate every win big or small. At Intugine, we're building a workplace that s ambitious, supportive, and a little bit quirky (in a good way). You ll be surrounded by driven teammates who enjoy solving real-world problems and having fun while doing it. Perks and Benefits: Employee Stock Options Own a part of what you build Comprehensive Health Cover Because health comes first Personal Development Budget Learn, grow, and thrive Flexible Working Hours Work when you're most productive Generous Parental Leave Family matters Equal Pay Policy Transparent and fair, always Education Assistance We support your learning journey Autonomy & Ownership Take charge of your role Life Skills Training From tax planning to wellness Company Outings & Paid Time Off Unplug and recharge

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Sr. Software Sales Consultant / Manager (SaaS) Location: Bengaluru, India (In-Office) Experience: 8 13 years Job Type: Full-time | Permanent Role Category: Enterprise & B2B Sales Industry: IT Services & Consulting About the Role We re looking for a driven and experienced Senior Software Sales Consultant / Manager to lead our enterprise software sales efforts across North America and APAC markets. You'll be at the forefront of selling our next-gen cloud-based Quality Management System (EQMS) designed for industries like General Manufacturing, Life Sciences, and Automotive. If you're passionate about helping organizations digitally transform and thrive in a competitive landscape especially in compliance, quality, and process optimization we want to hear from you. What You ll Be Doing Sales Strategy & Execution Drive new business and manage existing accounts to exceed annual sales quotas Operate as a hunter, building a strong pipeline via assigned leads and self-sourced opportunities Manage the entire sales cycle: lead generation qualification business development deal closure Create success plans aligned with both individual targets and company revenue goals Client Engagement Build strong, multi-level relationships with decision-makers and influencers Understand customer pain points and map them to the value of our solutions Position our EQMS and complementary platforms to meet compliance, quality, and efficiency needs Sales Operations Keep CRM (Salesforce) updated with an accurate pipeline and forecast Collaborate with internal teams Product, Development, Support, Consulting to ensure a seamless customer experience Represent the company at industry events, trade shows, and webinars What You ll Bring Required Skills & Experience 8 13 years of successful experience in enterprise software sales (SaaS, cloud-based platforms, or EQMS/ERP/CRM) Prior experience with on-premise-to-cloud transitions is a big plus Strong working knowledge of Quality, Compliance, or Clinical Information Systems Ability to understand complex business workflows and demonstrate high-value software solutions Exceptional communication, negotiation, and presentation skills Proficiency in Microsoft Office Suite and familiarity with Salesforce CRM Self-starter with a strong sense of ownership and ability to work cross-functionally Education Bachelor s degree in Business, Engineering, or a related field Nice to Have Exposure to EQMS, ERP, MES, CRM, HCM, EPM, or BI/Analytics platforms Experience selling into regulated industries like Life Sciences, Pharma, or Automotive Multilingual skills (English is mandatory; additional languages are a bonus) Opportunity to work with an innovative SaaS product in a growing industry Access to top-tier clients and complex enterprise deals Fast-paced, collaborative, and learning-driven work culture Competitive salary and career progression based on performance Apply now and take the lead in shaping the future of quality and compliance software for global enterprises! Qualification : Bachelors degree in Business, Engineering, or a related field

Director / Senior Director Business Development Location: Bengaluru | NCR | Hyderabad | Pune Department: Sales & Go-To-Market Type: Full-Time | Leadership Role About the Role As a Director or Senior Director Business Development, you will spearhead strategic sales growth initiatives across India-based Global Capability Centers (GCCs) within verticals such as financial services, healthcare, retail, and automotive. You ll leverage deep industry networks, strategic thinking, and technology insight to drive revenue, build lasting client relationships, and shape Publicis Sapient s digital transformation footprint in India. This is a high-impact leadership role, ideal for someone with a track record of enterprise sales success, particularly within digital services or consulting environments. Key Responsibilities Sales Strategy & Execution Define and lead go-to-market strategies for India-based GCCs. Own the end-to-end sales cycle, including lead generation, RFPs, negotiations, and deal closure. Align business development goals with company vision and revenue objectives. Segment the market and prioritize target accounts (large enterprises, public sector, digital transformation buyers). Client Acquisition & Relationship Building Build and manage a robust pipeline of enterprise clients. Cultivate trusted advisor relationships with senior stakeholders and decision-makers. Represent Publicis Sapient in high-stakes negotiations and strategic engagements. Internal Collaboration & Team Incubation Initially operate in an individual contributor (IC) capacity until business scale demands team expansion. Collaborate with internal teams (growth, marketing, client partners, delivery) to craft tailored value propositions. Lead knowledge sharing and contribute to team culture, mentoring future BD hires. Required Skills & Experience 15+ years in enterprise/technology sales, preferably in digital consulting, tech services, or IT transformation. Proven ability to build a book of business and execute sales in a high-growth or consulting environment. Deep understanding of the India GCC landscape and established network in relevant industries. Strategic thinker with strong execution and account segmentation capabilities. Excellent communication, presentation, and negotiation skills. Self-driven, collaborative, and experienced in handling complex B2B deal cycles. Preferred Qualifications Master s degree in Business, Technology, or a related field (MBA preferred). Experience selling to CIOs, CTOs, Chief Digital Officers, or transformation leaders. Familiarity with cloud, data, engineering, and agile digital services offerings. Understanding of how large enterprises buy digital transformation services. Why Join Publicis Sapient Gender-Neutral Policy 18 Paid Holidays per year Parental Leave & Transition Program Flexible Work Options Wellness and Employee Assistance Programs About Publicis Sapient Publicis Sapient is a global digital transformation partner serving established enterprises through a fusion of strategy, consulting, customer experience, and agile engineering. With over 20,000 professionals in 53 offices worldwide, we drive meaningful change by helping clients modernize how they work and serve their customers. Qualification : Masters degree in Business, Technology, or a related field (MBA preferred).

Position: Business Technology Data Engineer Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in the Connected Operations Cloud, enabling businesses across industries like transportation, logistics, manufacturing, and field services to harness IoT data for safety, efficiency, and sustainability improvements. Samsara helps organizations digitize physical operations at scale, improving outcomes that impact global infrastructure. Role Overview Samsara is seeking a Business Technology Data Engineer to join its Data & Analytics team within the Business Technology division. In this role, you will design, build, and optimize end-to-end data pipelines and infrastructure for various business-critical systems across CRM, marketing, support, and product platforms. You'll collaborate with teams across the company to build reliable and scalable data solutions that power reporting, automation, and analytics. This hybrid role requires working 3 days per week from the Bengaluru office and 2 days remotely, with working hours aligned to India Standard Time (IST). Key Responsibilities Data Engineering & Platform Development Design and maintain ETL/ELT pipelines that integrate and transform data across business systems. Build scalable data infrastructure to support advanced analytics and real-time reporting needs. Write Python and SQL scripts for data ingestion, transformation, and validation. Data Integration & Enablement Work with diverse data sources: CRM, product telemetry, marketing automation, support ticketing, and order flow systems. Develop and support data lake and data warehouse solutions using Snowflake, Redshift, Databricks, or BigQuery. Ensure interoperability between applications and data layers. Performance & Quality Monitor and optimize pipeline performance, implement observability and alerting. Improve data quality, lineage, and governance across systems. Partner with internal stakeholders (e.g., Sales Ops, Marketing Ops, Analytics) to deliver reliable data products. Minimum Qualifications Bachelor s degree in Computer Science, Data Engineering, or related field. 5+ years of professional experience in data engineering. 3+ years experience building and maintaining end-to-end pipelines in a modern data stack. Strong in SQL and Python. Hands-on experience with: ETL tools: Fivetran, dbt Cloud: AWS (preferred), GCP, or Azure Databases: MySQL, PostgreSQL, Oracle, or similar Data Warehouses: Snowflake, Redshift, BigQuery, Databricks Preferred Qualifications Familiarity with API-based ingestion, serverless architecture (Lambda, API Gateway, SQS, etc.). Experience with monitoring tools (DataDog, CloudWatch, Splunk). Comfortable engaging stakeholders to translate business needs into data solutions. Proficiency in Docker, Kubernetes, or AWS Fargate is a plus. Qualification : Bachelors degree in Computer Science, Data Engineering, or related field

Position: IT Automation Engineer Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a global leader in the Connected Operations Cloud, empowering organizations in physical operations such as transportation, logistics, construction, and manufacturing to unlock actionable insights from IoT data. With products that improve safety, efficiency, and sustainability, Samsara is at the forefront of digital transformation for industries that power the world. Role Overview As an IT Automation Engineer within Samsara s Business Technology Core IT team, you'll play a key role in streamlining internal IT systems and processes through automation, infrastructure-as-code, and modern DevOps practices. This position emphasizes cloud infrastructure, scripting, CI/CD, and SaaS system integration to support high-growth scalability and efficiency across Samsara's enterprise environment. This hybrid role requires 3 days per week in the Bengaluru office and 2 days remote, operating in India Standard Time (IST). Key Responsibilities Automation & Development Design and build automation scripts and services using Python, Bash, or JavaScript (Node.js). Automate repetitive IT operations across internal platforms, SaaS tools, and cloud infrastructure. Develop and deploy Infrastructure-as-Code (IaC) using Terraform or CloudFormation for AWS environments. Cloud & DevOps Engineering Manage and provision AWS services such as Lambda, EC2, S3, RDS, ECS, API Gateway, etc. Build and maintain CI/CD pipelines and implement containerized solutions using Docker. Implement observability and monitoring solutions using tools like CloudWatch and Splunk. Collaboration & Strategy Partner cross-functionally with IT, security, and business systems teams. Lead strategic automation initiatives to improve IT efficiency at scale. Write and maintain clear documentation for automated workflows and tooling. Minimum Qualifications Bachelor's degree in Computer Science, IT, or a related field. 5+ years in IT automation, DevOps, or software development roles. Strong scripting skills in Python, JavaScript (Node.js), or Go. Hands-on experience with AWS services and IaC tools (Terraform preferred). Experience with SaaS ecosystems like Google Workspace, Okta, Slack, Zoom, GitHub, Zendesk. Proficient in version control using Git/GitHub and building CI/CD pipelines. Strong communication and cross-functional collaboration skills. Preferred Qualifications Familiarity with Atlassian tools (Jira, Confluence), OpsGenie, StatusPage. Experience with Splunk and monitoring large-scale cloud systems. Exposure to Google Cloud Platform (GCP). Experience leading end-to-end internal application development projects. Qualification : Bachelor's degree in Computer Science, IT, or a related field

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Job Title: Talent Strategy & Acquisition Founder s Staff Location: Bengaluru Role Overview To invent a breakthrough product, you first need to invent the right team. New technology demands new skills skills that don t often exist in traditional talent pools built for legacy roles. This role is about redefining talent acquisition as an act of invention, discovering and attracting talent that invests in the company s future rather than just fulfilling old demand-driven roles. Key Responsibilities 1. Role Invention & Talent Discovery Identify and define emerging roles crucial for the company s growth, blending unique skill combinations tailored for a high-tech startup environment. Conduct deep industry and market research to understand evolving skill landscapes and organizational structures that cultivate such talent. Discover unconventional and emerging sources of talent across academia, startups, and industry innovators for both technical and non-technical roles. 2. Building & Nurturing Talent Pipelines Develop long-term talent pipelines by influencing industry and educational ecosystems to groom future-ready talent aligned with the company s needs. Leverage social capital, partnerships, and community networks to continuously source and develop relevant talent pools. Collaborate with academic institutions and industry bodies to co-create programs or initiatives that prepare candidates for startup environments. 3. Employer Branding & Candidate Experience Engineering Craft differentiated branding and communication strategies tailored to diverse talent segments, addressing biases related to trends, industries, culture, and experience. Design and engineer the candidate journey meticulously at every touchpoint, ensuring a compelling and authentic perception of the opportunity and the organization. Drive corporate and talent branding initiatives that resonate with target talent groups and amplify the company s unique value proposition. 4. Augmenting Founders & Strategic Acquisition Planning Partner closely with founders to strategize hiring plans aligned with business objectives and evolving product roadmaps. Conduct market research and competitive analysis to inform talent acquisition strategies for every critical role. Lead targeted talent discovery efforts, proactively sourcing candidates who fit the organization s culture and technical vision. 5. Campus Recruitment & Evaluation Design Understand behavioral patterns and challenges unique to campus hires pre- and post-joining. Design and implement structured, rigorous evaluation journeys that align with organizational values and role requirements. Establish partnerships with educational institutions to attract and onboard top-tier emerging talent. Skills & Experience Proven expertise in strategic talent acquisition, especially within high-tech startups or emerging technology sectors. Strong understanding of evolving industry skill demands, talent market dynamics, and unconventional sourcing channels. Experience in employer branding and crafting compelling candidate experiences for diverse talent pools. Ability to conduct deep market and competitive talent research to inform hiring strategies. Excellent stakeholder management skills, comfortable working directly with founders and leadership teams. Knowledge of campus recruitment processes, candidate evaluation methodologies, and behavioral assessment techniques. Preferred Qualifications Bachelor s or Master s degree in Human Resources, Business, Psychology, or related fields. Experience in building talent pipelines through partnerships with academia and industry. Track record of success in roles involving high-impact talent sourcing and employer branding. Familiarity with talent analytics, ATS tools, and recruitment marketing platforms. Qualification : Bachelors or Masters degree in Human Resources, Business, Psychology, or related fields.

Job Title: Enterprise Account Executive - Sales Company: Druva Location: Bengaluru, India About Druva: Druva enables cyber, data, and operational resilience for every organization through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Customers simplify data protection, streamline governance, and gain data visibility as they accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure costs and delivers data resilience across geographies and clouds. Role Overview: Druva is seeking a highly motivated Enterprise Account Executive to drive sales within the Enterprise segment in India. This role involves building a strong sales pipeline and closing new and existing business deals across a defined territory. Reporting directly to the Country Manager, India & SAARC, you will play a critical role in growing Druva s footprint by engaging IT decision-makers at various levels and working collaboratively with channel partners. Key Responsibilities: Manage sales across assigned territory focusing on both new business and existing customer accounts (hybrid role). Own the full sales cycle end-to-end from initial prospecting and contact to deal closure. Partner with Renewals teams to ensure subscription renewals, prevent churn, and minimize downsell. Collaborate closely with channel partners, including resellers and distributors, to scale sales reach. Generate awareness of Druva s solutions, qualify leads, deliver compelling product demos and presentations, and close deals. Develop deep expertise in Druva s product offerings and competitive positioning to effectively communicate value propositions. Lead proposal creation and respond to RFIs/RFPs in conjunction with Solution Engineering teams. Maintain accurate and timely pipeline reports and forecasts within the territory. Prepare and execute thorough business plans aligned with revenue targets. Consistently meet or exceed assigned sales quotas. Qualifications & Experience: Minimum 7 years of experience in software sales; Backup or SaaS sales experience preferred. Proven track record selling to Enterprise IT organizations in India, demonstrating consistent performance and revenue achievement. Experience managing and selling through channel partners. Familiarity with structured sales methodologies such as MEDDPICC. Strong technical acumen with the ability to build compelling business cases including TCO and ROI justification. Willingness to travel up to 30%, predominantly domestic. Fluency in English. Bachelor s degree from a top-tier university; advanced degrees (MBA or Master s) are a plus. Personal Attributes: Entrepreneurial spirit: Passionate about scaling up and adaptable to evolving business dynamics. Technologist: Deep understanding of IT challenges and modern technology solutions. Self-starter: Proactive and accountable with minimal supervision. Team player: Collaborative, building strong relationships across Druva s regional and global teams. Organized: Able to lead complex initiatives, prioritize tasks, and communicate progress clearly. Pragmatic: Balances trade-offs to achieve key objectives efficiently. High standards: Committed to personal and organizational excellence. Excellent communication: Clear, succinct, and persuasive in both verbal and written interactions. If you re driven by success in a fast-paced, scale-up environment and passionate about delivering world-class SaaS solutions to Enterprise customers, Druva offers a compelling opportunity to join a global leader in data resilience. Qualification : Bachelors degree from a top-tier university; advanced degrees (MBA or Masters) are a plus.

Job Title: Sales Development Representative (SDR) Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is transforming conversational commerce by building AI agents that interact with customers at human-level quality especially on WhatsApp. We're a Y Combinator W21 company, backed by top investors and trusted by 300+ brands like HUL, ITC, Wow Skin Science, Snitch, and Piramal Health. We re now expanding into enterprise verticals like BFSI, Healthcare, and Retail, making this a pivotal time to join our growing team. If you re a fast-paced problem solver, self-starter, and driven by results you'll thrive here. What You ll Do As a Sales Development Representative (SDR), you ll be the first point of contact between LimeChat and potential clients. You ll identify prospects, personalize outreach, and initiate conversations that lead to sales meetings and opportunities. Key Responsibilities Build targeted prospect lists from tools like LinkedIn, Apollo, ZoomInfo, etc. Initiate outreach via cold calls, emails, LinkedIn, and other outbound channels. Craft compelling, personalized messaging tailored to industry and prospect pain points. Understand LimeChat s product offerings and how they solve specific business challenges. Set up discovery calls and product demos with Account Executives. Collaborate with the marketing and sales teams to optimize campaigns and outreach strategies. Track outreach activity and performance metrics; maintain detailed records in CRM. Stay informed on industry trends, competitor offerings, and product updates. Must-Have Skills 2+ years of outbound B2B sales development experience in a SaaS or product company. Proven success in cold outreach, especially across LinkedIn, email, and phone. Strong copywriting and personalization skills to engage decision-makers. Resilient, go-getter attitude with the ability to handle rejections. Excellent verbal and written communication skills. Ability to qualify leads and identify buying signals effectively. Bachelor's degree (minimum qualification). Nice to Have Experience selling or pitching to eCommerce, D2C, or retail verticals. Familiarity with CRM tools (e.g., HubSpot, Salesforce). Interest in or understanding of AI/chatbots/conversational commerce. Unlimited PTO / Sick Leave Take the time you need. Subsidized Fitness Membership Stay in top form. Free Lunch & Snacks Fuel your day. Pet-Friendly Office Bring your dog or cat to work. Annual Company Retreat Work hard, celebrate harder. Culture Quotes We Live By It s okay to fail. It s not okay to not try. Do the right thing when others are not looking. If you re ready to hustle hard, learn fast, and grow with one of the most exciting startups in conversational AI, we d love to meet you. Apply now and be part of LimeChat s growth journey! Qualification : Bachelor's degree

Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics

Senior Data Engineer Location: Bengaluru, India Employment Type: Full-time, On-site About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by leading Silicon Valley venture capitalists and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data, alongside insights from top experts. We specialize in complex service environments like high-tech devices, manufacturing, and medical devices, empowering service leaders to optimize key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you will be part of a dynamic, innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your chance to join a fast-growing startup and help redefine how AI impacts the future of service optimization. About the Role We are building a real-time analytics platform to improve uptime of connected devices and minimize maintenance costs. This involves collecting, analyzing, and leveraging large volumes of sensor data for observability and predictive analytics. As a Senior Data Engineer, you will have the opportunity to build and maintain scalable, high-performance data systems using modern data engineering tools. The ideal candidate will have hands-on experience with Python, Scala, ELT processes, Lakehouse architecture, Apache Spark, Databricks, real-time streaming systems like Kafka and Flink, and observability tools such as the ELK stack, Prometheus, and Grafana. What You ll Do: Data Model Development: Design and implement advanced data models to extract insights from complex datasets. Collaborative Problem Solving: Work with cross-functional teams to devise data-driven solutions for service optimization. Experimental Analysis: Conduct experiments and analyses to enhance service predictions and outcomes. Actionable Insights: Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts. Mentorship: Guide and mentor junior team members, fostering a collaborative and knowledge-sharing environment. What We re Looking For: Experience: At least 4 years of hands-on experience in data engineering, with a focus on building large-scale data systems. Data Pipeline Expertise: Strong proficiency in Python and Scala for developing data pipelines. Big Data Tools: Proven experience with Apache Spark and Databricks for big data processing and analytics. Observability Tools: Hands-on experience with observability tools like Prometheus, Grafana, and the ELK stack or OpenSearch. Real-Time Data Streaming: Experience working with real-time streaming systems such as Kafka and Flink. Cloud Platforms: Familiarity with cloud platforms like Azure, GCP, or AWS. Problem-Solving Skills: Strong analytical and problem-solving abilities to work with complex data systems in fast-paced environments. Collaboration: Excellent communication and teamwork skills, with the ability to work effectively with cross-functional teams. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to leverage advanced AI technology to enhance service decision-making and we are dedicated to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Flexible work arrangements work from home or from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you!

Sr. Data Engineer - AWS - Big Data Location:Bangalore Type of Employment: Full-Time Experience Required: 7 to 10 years Job Overview: We are seeking a highly skilled Sr. Data Engineer with expertise in AWS cloud technologies and Big Data to join our Cloud Data Architect Team at Infocepts. In this critical role, you will design and implement robust data solutions using technologies like EMR, Athena, PySpark, AWS Lambda, S3, and other AWS services. The ideal candidate will have a strong foundation in database concepts and SQL and will be responsible for building scalable data pipelines to support high-performance data processing. Key Responsibilities: Technology Assessment and Design: Study the existing technology landscape and evaluate current data integration frameworks. Assist in designing complex Big Data use cases leveraging AWS services. Documentation and Stakeholder Communication: Prepare and maintain comprehensive project documentation, adhering to quality guidelines and schedules. Work closely with Architects and Project Managers to provide accurate estimations, scoping, and scheduling assistance. Clearly communicate design decisions and conduct Proof-of-Concepts to validate new solutions before implementation. Process Improvement and Automation: Identify areas for process automation to improve efficiency and team productivity. Provide expert guidance and troubleshooting support to junior Data Engineers. Training and Knowledge Sharing: Develop and deliver technology-focused training sessions for the team, ensuring continuous knowledge sharing. Share expertise through Expert Knowledge Sharing sessions with Client Stakeholders. Essential Skills: AWS Services Expertise: In-depth knowledge of S3, EC2, EMR, Athena, AWS Glue, and Lambda. Big Data Technologies: Proficiency with Apache Spark, Databricks, and Big Data table formats such as Delta Lake (open-source). Data Warehousing: Strong understanding of data warehousing concepts and architectures. Programming Skills: Advanced programming skills in Python for building data pipelines. SQL Expertise: Strong SQL skills for data transformation, aggregation, and querying large datasets. ETL Workflow Development: Expertise in creating ETL workflows with complex transformations (e.g., SCD, deduplication, aggregation). Orchestration Tools: Familiarity with orchestration tools like Apache Airflow. MPP Databases: Experience with at least one MPP database (e.g., AWS Redshift, Snowflake, SingleStore). Cloud Databases: Exposure to cloud databases like Snowflake or AWS Aurora. Desirable Skills: Cloud Databases: Familiarity with Snowflake, AWS Aurora. Big Data Technologies: Experience with Hadoop and Hive. AWS Certification: Associate or Professional Level AWS Certification. Advanced Knowledge of Big Data Solutions: Exposure to big data tools and frameworks on cloud platforms. Qualifications: Experience: 7+ years of overall IT experience, with 5+ years specifically focused on AWS-related projects. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Technical Certifications: Demonstrated commitment to continuous learning through certifications or relevant training. Qualities: Strong analytical and problem-solving skills to deep dive into complex technical challenges.

Position: Cloud Data Engineer AWS Big Data Location: Bangalore, India Employment Type: Full-time Experience Required: 5 to 8 years Purpose of the Position: Join the Infocepts Cloud Data Architect Team as a Cloud Data Engineer and help design and implement cutting-edge big data solutions on AWS. You will leverage your expertise in EMR, Athena, PySpark, S3, AWS Lambda, and SQL to develop robust and scalable data platforms. Key Responsibilities: Technology Assessment and Design: Assess existing technology landscape and data integration frameworks. Design complex Big Data use cases using AWS services under guidance of the Architect. Support architectural decision-making by evaluating trade-offs in cost, performance, and durability. Recommend optimizations to existing data infrastructure. Documentation and Stakeholder Communication: Create project documentation adhering to quality and delivery standards. Collaborate closely with Architects and Project Managers for scoping, estimation, and planning. Present design decisions to technical and business stakeholders clearly. Conduct PoCs and design review sessions. Process Improvement and Automation: Identify and suggest opportunities for automation and process enhancements. Mentor junior engineers and support technical problem solving. Training and Knowledge Sharing: Prepare and deliver internal training on AWS and Big Data topics. Lead client knowledge sharing sessions and contribute to case studies. Essential Skills: In-depth experience with AWS services: S3, EC2, EMR, Athena, Glue, Lambda Familiarity with MPP databases like Redshift, Snowflake, or SingleStore Proficiency in Apache Spark and Databricks Strong programming skills in Python Experience building data pipelines using AWS and Databricks Knowledge of Big Data file formats such as Delta Lake Advanced SQL skills for large-scale data manipulation Hands-on experience with Apache Airflow or similar orchestration tools Strong understanding of ETL workflows and data warehousing concepts Desirable Skills: Cloud databases: AWS Aurora, Snowflake Experience with Hadoop and Hive AWS Certifications (Associate or Professional level) are a plus Qualifications: Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) Overall 5+ years of IT experience with at least 3 years in AWS Big Data projects Ongoing learning and technical certifications are strongly encouraged Key Qualities: Strong problem-solving and analytical thinking Self-driven with a passion for emerging data technologies Excellent communication and client presentation skills Ability to work in cross-functional, agile teams Apply now to be part of a high-impact data transformation team working on large-scale cloud data projects! Qualification : Bachelors degree in Computer Science, Engineering, or related field (Masters preferred)

Position: Data Integration Developer (Snowflake & DBT) Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: This role seeks candidates who are passionate about data and motivated to address the organization's analytics challenges. As a Data Integration Developer (Snowflake & DBT), you will play a crucial role in assisting our clients with their data and analytics journey. Your responsibilities will include building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support analytics platforms. Key Responsibilities: Technical Expertise: Develop and optimize ETL processes using Snowflake capabilities. Build and maintain advanced data models and ETL processes using DBT (Data Build Tool). Ensure efficient data transformation and integration within the data warehouse. Collaboration: Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions. Facilitate effective communication and collaboration across teams. Quality Assurance: Implement and oversee data quality checks and testing procedures. Ensure data accuracy, consistency, and compliance with governance policies. Documentation and Reporting: Create and maintain comprehensive documentation for ETL processes and project workflows. Provide regular updates and reports on project progress and performance metrics. Compliance and Security: Ensure all data engineering activities comply with data governance and security policies. Implement measures to protect data integrity and confidentiality. Essential Skills: Proficient in SQL: Skilled in writing efficient queries on large datasets, including CTE and database table design. Snowflake Expertise: Experience with Snowflake or other database technologies, including SQL tuning. ETL Development: Skilled in developing and optimizing ETL processes using Snowflake and other tools. DBT Experience: Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake). Data Analysis and Profiling: Experienced in data analysis and profiling tasks. Qualifications: Overall Work Experience: More than 5 years of experience, with at least 2-3 years of experience in Snowflake and DBT. Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Key Qualities: Decision Making: Ability to influence and implement change with confidence and sound decisions. Problem-Solving: Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers. Communication: Ability to consult, write, and present persuasively. Team Collaboration: Works effectively in self-organized, cross-functional teams. Apply now and become an integral part of our innovative team working on cutting-edge data integration solutions! Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus).

Job Title: Data Analyst Location: Bengaluru Company: LoadShare Networks About LoadShare Networks At LoadShare, we re building India s largest intra-city logistics marketplace. Founded in 2017, we are a Series C startup backed by a strong set of investors (Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, Filter Capital), focused on building a profitable and impactful business. We work with all major enterprise clients covering a wide range of intra-city use cases, including: Quick Commerce: Blinkit, Zepto, BBNow Food Delivery: Swiggy, Zomato Hyperlocal: Apollo, Licious Grocery: Reliance, Spencers, ONDC eCommerce: Flipkart, Amazon, Meesho, ShipRocket Bike Taxi: Uber, Ola Scale & Reach: Delivering over 500K orders per day across food, e-commerce, grocery, etc. Operating in 500+ towns nationwide with a fleet of 20K+ riders. Our tech platform powers 1M+ shipments daily. Role Overview As a Data Analyst at LoadShare, you will be an integral part of our Data team, responsible for designing, developing, and maintaining analytics reports and dashboards that measure, monitor, and alert the business regarding operations and product metrics. You ll work closely with internal teams to troubleshoot data issues, build ETL pipelines, and contribute to process improvements and innovation. Key Responsibilities Analyze, design, and develop analytics reports and dashboards to track key business metrics, providing insights into operational performance. Use your strong SQL skills to troubleshoot data issues in complex workflows and work with product and tech teams to resolve them. Build and maintain ETL pipelines to support data movement and integration across systems. Create ad-hoc reports as requested, ensuring timely and accurate delivery. Present findings and actionable recommendations to both business and non-technical stakeholders using effective storytelling techniques. Collaborate with product, business, and tech teams to understand the business domain and deliver insightful reports and dashboards that support business growth and optimization. Continuously improve data models, ensuring data is accessible and accurate for decision-making across the organization. Work on in-house technology projects to bring innovation and process improvements. Job Requirements Technical Skills: Strong proficiency in SQL and experience with writing and tuning SQL scripts. Around 1-2 years of experience coding in Python (experience in web scraping is a plus). Experience in data modeling, data warehousing, and building ETL pipelines. Familiarity with Business Intelligence (BI) tools such as Zoho Analytics, Metabase, Redash, Tableau, or Power BI. Collaboration: Ability to partner effectively with product, business, and tech teams to understand the business needs and develop reports and dashboards that support business growth. Communication: Strong communication skills, both written and verbal, with the ability to present complex data and insights to both technical and non-technical stakeholders. Problem-Solving: Proactive in identifying data issues, troubleshooting, and providing solutions that improve data integrity and usability. Key Skills SQL, Python, ETL Pipelines Data Modeling, Data Warehousing BI Tools: Zoho Analytics, Metabase, Redash, Tableau, Power BI Data Analysis & Reporting Communication & Collaboration