Data Strategy Jobs in Pune

Product Manager L-1 Location: Pune | Job Type: Full-Time | Department: Product Development Eshopbox is looking for a passionate and dedicated Product Manager L-1 to help drive the development and success of our products. In this role, you'll be responsible for the entire product lifecycle, from concept through execution. You ll collaborate closely with engineering, design, sales, and marketing teams to deliver solutions that meet customer needs and drive business outcomes. Key Responsibilities Product Lifecycle Management: Oversee the entire product lifecycle, from writing specifications to collaborating with cross-functional teams (design, engineering, marketing) to launch key product features. Planning & Execution: Manage the planning, scoping, execution, and delivery of multiple product development projects. Technical Oversight: Ensure technical implementation aligns with the product requirements and overall vision. Defining Product Architecture: Define the architecture, modules, interfaces, and data systems needed to meet product requirements. Product Strategy & Metrics: Develop and execute a product strategy that aligns with business goals, using data analysis to inform product decisions. Prioritization & Decision Making: Balance customer experience, technical constraints, and business drivers to make informed trade-offs. User-Centric Design: Gain a deep understanding of user needs, problems, and desires to shape product development. Prototyping & Documentation: Create product design prototypes and develop user manuals, help guides, and other support content. Cross-functional Leadership: Lead and interact with cross-functional teams to ensure smooth product development and delivery. What You ll Need Organizational & People Skills: Strong project management capabilities and the ability to work effectively with diverse teams. Technical Background: 1+ years of experience in software or product management roles, with a focus on project/program management. Agile & Scrum: Experience working in Agile environments, particularly with scrum methodology. Industry Knowledge: Previous experience in the internet or e-commerce industry is a plus, with exposure to SaaS-based tools. Learning & Adaptability: Quick to learn new concepts and tools with a strong desire for continuous self-improvement. Communication & Teamwork: Excellent communication and collaboration skills to work across multiple teams and stakeholders.

Job Title: Engineering Manager Order Management System (OMS) Location: Pune Role Overview: As the Engineering Manager Order Management System (OMS), you will be responsible for leading the design, development, and continuous evolution of a large-scale, distributed eCommerce platform. This platform processes high transaction volumes and integrates with complex third-party systems. You will manage a full-stack engineering team, ensuring system scalability, performance, and resilience while fostering a culture of ownership, technical excellence, and collaboration. Key Responsibilities: Own the full product lifecycle: Lead the conceptualization, architecture, design, implementation, deployment, and maintenance of the OMS and its integrations. Lead and mentor a team of 10+ engineers, guiding them through technical challenges and driving both backend and frontend development efforts to successful delivery. Architect scalable, distributed systems that handle high volumes of orders, inventory updates, and third-party data exchanges across the platform. Drive eCommerce integration strategy, collaborating with various systems including marketplaces, ERPs, WMS, payment gateways, and 3PLs to ensure robust data synchronization. Take technical ownership of both backend and frontend components, from database schema and API design to UI architecture and performance optimization. Establish and enforce engineering best practices, including coding standards, CI/CD workflows, observability, and security compliance, to ensure consistency and quality across the team. Be **hands-on** when necessary actively contributing to code, reviewing critical modules, and troubleshooting complex production issues. Ensure high availability, scalability, and data integrity in every design decision, embedding performance and security into the development lifecycle. Collaborate cross-functionally with Product, QA, DevOps, and Customer Success teams to ensure alignment between technical delivery and business priorities. Recruit and develop talent within the team, conducting technical interviews and nurturing a strong engineering culture. What You ll Bring: 12+ years of software engineering experience, with at least 4 5 years of hands-on experience in Ruby on Rails (RoR) backend development. Proven success in building and scaling distributed, event-driven systems that can handle high transaction volumes and complex integrations. Strong Angular expertise: Experience leading teams to deliver rich, responsive web applications. Deep knowledge of eCommerce and OMS domain concepts, including order lifecycle, inventory management, shipments, returns, and third-party partner integrations. Expertise in PostgreSQL/MySQL: Proficiency in schema design, query optimization, and performance tuning. Familiarity with RESTful APIs, webhooks, and common integration patterns for external systems. Experience working with cloud platforms (preferably AWS) and managing CI/CD pipelines for continuous deployment and delivery. Proven experience as an Engineering Manager or Technical Lead, with a track record of mentoring engineers and managing delivery across multiple engineering modules. A passion for building reliable, secure, and performant systems that deliver measurable business impact and enhance the customer experience. Excellent communication, organizational, and problem-solving skills, with the ability to effectively manage complex technical challenges. A strong sense of ownership, self-motivation, and a growth-oriented mindset, always striving to improve processes and systems. Nice to Have: Experience with microservices, asynchronous job processing, or message queues (e.g., Sidekiq, Resque, RabbitMQ). Exposure to SaaS or multi-tenant architectures. Familiarity with containerization (e.g., Docker) and monitoring tools (e.g., Grafana, ELK, Prometheus). Understanding of API versioning, rate limiting, and data consistency patterns in large-scale distributed systems. Innovative Environment: Work on a high-impact eCommerce platform that powers complex integrations and supports millions of transactions globally. Leadership Opportunity: Lead and mentor a talented team of engineers while driving technical strategy and best practices. Career Growth: Be part of a rapidly growing company with opportunities to develop both technically and professionally in a collaborative, dynamic environment. Impactful Work: Your work will directly impact the success of a highly scalable, high-performance platform that serves leading global businesses. If you are an experienced engineering leader with a passion for building scalable and resilient systems in the eCommerce domain, we would love to hear from you!

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Team Lead Account Management Location: Pune Experience: 3+ years Employment Type: Full-Time About Amura Amura Marketing Technologies is a next-generation MarTech company, delivering end-to-end marketing and sales solutions to leading brands across India. Guided by the philosophy of Marketing Engineered , we blend creativity, data, and technology to craft innovative marketing strategies that drive measurable results. Role Overview We are looking for a dynamic and experienced Team Lead Account Management to lead client strategy, execution, and servicing across multiple digital projects. This role involves managing a team of account managers, driving campaign performance, and ensuring seamless coordination between internal teams and clients. You'll be responsible for delivering marketing strategies that align with client goals and deliver measurable impact. Key Responsibilities 1. Marketing Strategy & Execution Develop and implement comprehensive, data-driven marketing strategies tailored to client objectives. Ensure strategies are aligned with industry best practices and designed to drive measurable engagement and conversions. Lead full-funnel strategy development across awareness, consideration, and conversion stages. 2. Team & Project Management Manage, mentor, and guide a team of junior account managers. Allocate tasks effectively to ensure timely, high-quality project delivery. Collaborate cross-functionally with creative, content, media, and tech teams to execute campaigns efficiently. 3. Client Engagement & Servicing Act as the primary point of contact for clients, ensuring proactive communication, updates, and relationship management. Understand client briefs in depth and translate them into actionable strategies. Maintain high client satisfaction through consistent service quality and strategic value. 4. Campaign Management Oversee the execution of campaigns across multiple digital platforms. Monitor performance, troubleshoot issues, and optimize in real-time to maximize ROI. Report campaign results with insights and next steps for growth. 5. Digital Platforms & Tools Proficient in platforms such as: Google Ads & Google Analytics Meta (Facebook) Business Manager Demand-Side Platforms (DSPs) and programmatic advertising tools Ability to leverage analytics tools to inform campaign performance and optimization. Must-Have Skills Strong command of full-funnel marketing strategies and their implementation. Proven expertise in performance marketing, including ROI optimization and attribution modeling. Ability to conceptualize and execute impactful marketing campaigns. Experience translating strategy into operational execution with a focus on timelines and outcomes. Strong communication and leadership skills with the ability to liaise between clients and cross-functional teams. Desired Qualifications & Experience Minimum 3 years of experience in digital marketing and account management, preferably in an agency setting. Prior experience in client strategy, servicing, and project management. Hands-on experience managing a team of 6 or more people. Ability to manage multiple projects simultaneously in a fast-paced environment. Strong analytical mindset with the ability to turn data insights into actionable strategies. Excellent interpersonal and decision-making skills with a high degree of ownership. Who You Are You thrive in a fast-paced, high-growth environment. You re a strategic thinker with attention to detail and a drive for results. You take ownership, stay proactive, and are relentless in project execution. You re a natural leader, a strong communicator, and a team player. You enjoy solving problems, learning new tools, and contributing to a dynamic work culture. Apply now and join Amura in shaping the future of marketing.

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Position: Assistant Manager Marketing Location: Pune Qualification: MBA Experience: Minimum 8 Years Job Description: We are seeking an experienced and strategic Assistant Manager Marketing to lead brand promotion initiatives and execute targeted marketing campaigns that drive sales growth. The ideal candidate will have a strong understanding of market dynamics, excellent project management skills, and a proven track record of delivering impactful marketing solutions. Key Responsibilities: Plan and execute marketing strategies and brand promotion activities to generate leads and boost sales opportunities. Collaborate with sales and project teams to understand business needs and align marketing efforts accordingly. Design and implement marketing campaigns within approved budgets, ensuring ROI and performance metrics are met. Conduct market research and competitor analysis to identify trends, customer preferences, and business opportunities. Provide strategic insights and recommendations to senior management based on market data and campaign performance. Manage and coordinate with external agencies, vendors, and creative partners to ensure timely and quality deliverables. Prepare and present periodic MIS reports on marketing performance, including channel effectiveness and campaign outcomes. Qualification : MBA

Position Title: Director Customer Services Location: Pune Experience: 12+ years Education: Bachelor's Degree / MBA (Preferably in IT or Business Strategy) Company: Accops Systems Pvt. Ltd. Accops empowers organizations with secure and seamless remote access, workspace virtualization, and Zero Trust-based IT infrastructure solutions. Role Overview: Accops is looking for a dynamic and strategic Director Customer Services to lead enterprise customer success initiatives. This role is pivotal in driving customer satisfaction, retention, and long-term value realization by aligning Accops' solutions with strategic customer goals. The ideal candidate will have deep experience in customer success, IT infrastructure, cybersecurity, or virtualization technologies, with a proven ability to engage C-level stakeholders and deliver measurable business outcomes. Key Responsibilities: Act as a strategic advisor to enterprise customers, identifying and aligning business use cases with Accops solutions across verticals like BFSI, Government, Healthcare, Manufacturing, and more Drive post-sales value delivery by tracking business KPIs and proactively engaging with customers to ensure alignment with success metrics Lead and deliver data-driven QBRs (Quarterly Business Reviews) to highlight ROI, ensure solution adoption, and identify upsell/cross-sell opportunities Guide customers through technical enablement, architecture discussions, roadmap alignment, and value realization Collaborate cross-functionally with Product, Sales, Professional Services, and Engineering teams to ensure customer needs and feedback influence product direction Own strategic customer portfolios, acting as the single point of contact for senior stakeholders Develop and deliver business cases, solution roadmaps, and tailored customer success plans Champion customer advocacy by identifying opportunities for case studies, testimonials, and speaking engagements Maintain accurate records of customer interactions, engagement milestones, feedback, and business impact Technical Skills & Requirements: 12+ years of experience in Customer Success, Strategic Account Management, or Solution Consulting in the tech domain Demonstrated success in aligning complex IT solutions with tangible business outcomes Strong presence and credibility to engage and influence C-level executives Deep understanding of digital transformation trends, enterprise IT challenges, and industry-specific requirements Strong grasp of technologies in VDI, Cybersecurity, Zero Trust Security, or IT Infrastructure Analytical mindset with the ability to interpret usage data and transform insights into strategic actions Preferred Qualifications: Background in technologies such as Accops, Citrix, VMware, Omnissa, or other Secure Access/VDI solutions Experience managing large enterprise accounts or strategic portfolios as an individual contributor MBA or equivalent experience in business strategy or IT management is a plus Soft Skills & Behavioral Competencies: Excellent verbal and written communication skills Strong solution design and articulation abilities Proactive and self-driven with a customer-first approach Accountable, with a high level of ownership and responsibility Analytical and logically sound with strong problem-solving skills Flexible, multi-tasker, and quick learner in a dynamic environment Team player with collaborative leadership qualities Qualification : Bachelor's Degree / MBA (Preferably in IT or Business Strategy)

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Job Title: Technical Assistant to CMD Location: Pune Experience: Minimum 8 Years Employment Type: Full-Time Reporting To: Chairman & Managing Director (CMD) Job Responsibilities: Technical Support & Project Coordination: Assist CMD in reviewing and analyzing project reports, construction plans, and feasibility studies Coordinate with project teams, architects, and consultants for technical discussions and status updates Provide insights on project planning, estimation, and budgeting Planning & Estimation: Conduct quantity estimation, cost analysis, and material requirements for ongoing projects Assist in tendering processes, vendor negotiations, and contract evaluations Track and report on project progress, risks, and deviations Liaison & Documentation: Maintain and organize technical documents, approvals, and compliance reports Liaise with government authorities for regulatory clearances and compliance Prepare technical presentations and reports for CMD s strategic meetings Process Improvement & Risk Mitigation: Identify potential risks in construction projects and suggest mitigation strategies Support CMD s decision-making with data analysis and project insights Recommend process improvements for efficient project execution Qualifications: BE/DCE in Civil Engineering (preferably with specialization in Planning/Estimation) Experience: Minimum 4 years in construction planning, estimation, and project coordination Qualification : BE/DCE in Civil Engineering (preferably with specialization in Planning/Estimation)

Business Analyst Biocarbon Business Location: Pune Experience: 5 10 Years Function: Biocarbon Business Education: Bachelor s degree in Engineering Master s degree in Business Administration, Environmental Science, or a related field Job Summary: We are looking for a dynamic and analytical Business Analyst to support the growth of BiofuelCircle s Biocarbon Business. The role is central to improving platform engagement for internal and external stakeholders, enhancing user experience, and driving data-driven decisions for sustainable bioenergy solutions. The Business Analyst will work on market research, financial modeling, regulatory compliance, and cross-functional collaboration to support strategic business goals. Key Purpose of the Role: To enable smooth operational workflows, resolve user challenges, and support strategic initiatives by providing insights from data, market analysis, and project evaluation ultimately strengthening BiofuelCircle s impact on the biocarbon and sustainability ecosystem. Key Responsibilities: 1. Market & Competitive Analysis Research carbon markets, sustainability trends, and competitor strategies. Generate actionable insights for business development and strategic planning. 2. Data Analysis & Reporting Collect, analyze, and interpret data related to carbon credits, environmental projects, and financial metrics. Deliver meaningful reports and dashboards to support decision-making. 3. Stakeholder Collaboration Work closely with New Market Development, Supply Chain, Finance, and Project Management teams. Ensure alignment between project execution and overall business strategy. 4. Financial Modeling Build robust financial models and conduct sensitivity analyses for carbon offset and credit-based initiatives. Evaluate investment opportunities and project viability across multiple scenarios. 5. Regulatory Compliance Ensure all projects comply with relevant national and international carbon standards and certification protocols. 6. Technology & Innovation Support Contribute to digital innovation initiatives such as blockchain-based carbon tracking and AI-driven analytics. Ideal Candidate Profile: Professional Experience: Experience in carbon markets, sustainability, biocarbon, biomass, or nature-based solutions (NBS). Proven ability to build financial models and conduct scenario-based analysis. Core Competencies: Strong analytical and problem-solving capabilities. Excellent communication and stakeholder engagement skills. Exposure to industrial technologies and project development is an advantage. Travel Requirements: Minimal (as per project or stakeholder needs) Opportunity: This is a unique opportunity to work at the intersection of sustainability, innovation, and strategic business development. As a Business Analyst, you will contribute directly to shaping India s emerging biocarbon economy while working on impactful projects that promote circular growth and environmental compliance. Collaboration: This role requires regular interaction with teams in New Market Development, Supply Chain, Finance, and Project Management to ensure cohesive project outcomes and aligned business objectives. Qualification : Bachelors degree in Engineering and Masters degree in Business Administration, Environmental Science, or a related field

Manager Market Research Location: Pune, Maharashtra Function: Marketing Experience: 7 8 Years Education: MBA (preferred with Engineering background) or Degree in Economics / Statistics Job Summary: We are seeking a strategic and data-driven Manager Market Research to lead research initiatives that inform BiofuelCircle s growth in the bioenergy sector. This role will focus on identifying new geographic and product opportunities, assessing industrial demand and rural supply, and generating actionable insights to support decision-making across functions. Key Purpose of the Role: To build and lead a market research function that supports geographic expansion, product diversification, and strategic decision-making through in-depth data analysis, customer insight, and competitor benchmarking. Key Responsibilities: Market Research Industrial Demand & Rural Supply Conduct primary (qualitative) and secondary (quantitative) research on biomass availability and biofuel demand Maintain district- and taluka-level datasets across Indian states for all operational and target regions Research crop production, harvesting practices, residue availability, and alternate applications Analyze industrial clusters using biomass/coal and identify platform adoption enablers and barriers Market Intelligence & Analysis Identify new demand and supply markets or clusters Perform gap analyses against existing operations Conduct on-ground validations based on crop seasons and geographies Customer Insights & New Product Development Run exploratory studies to support new product development and product-market fit assessments Design and implement surveys, dipsticks, and focus groups to gather customer insights Competitor & Market Landscape Analysis Monitor competitors offerings and go-to-market strategies Track emerging trends across the bioenergy and cleantech sectors External Agency Management Draft research briefs in coordination with product and business teams Select appropriate methodologies and manage external research vendors Ensure research deliverables are on-time, cost-efficient, and actionable Team Building & Leadership Build and lead an in-house research team Drive research process governance and ensure alignment with strategic business needs Policy Framework & Strategic Support Contribute to state-wise policy analysis for new products and geography expansion Support business planning for growth and diversification initiatives Ideal Candidate Profile: Industry Background: Experience in Energy, Cleantech, E-Commerce, or B2B Industrial sectors is preferred Deep understanding of the Indian market landscape Technical Competencies: Strong analytical and conceptual thinking Skilled in transforming complex data into strategic insights Capable of connecting insights across cross-functional teams Project governance and stakeholder alignment skills Communication & Interpersonal Skills: Excellent verbal and written communication Able to engage with a broad spectrum of stakeholders from rural micro-businesses to multinational corporations Soft Skills: Confident, assertive, and proactive Analytical mindset with the ability to lead and mentor a team Opportunity: Join a pioneering company in the bio-energy sector, driving sustainable transformation across India. This role offers a unique opportunity to work on high-impact projects while collaborating with a mission-driven and innovative team. Supervision & Collaboration: Reports to: Head of Marketing Works closely with: Product, Operations, Sales, Policy, and Strategic Planning teams Qualification : MBA (preferred with Engineering background) or Degree in Economics / Statistics

Digital Marketing Associate Location: Pune Industry: IT Services Job Type: Marketing Experience: 1 3 years About the Role Zkraft is seeking a proactive and strategic Digital Marketing Associate to drive organic growth and enhance the digital footprint of our clients locally and globally. In this role, you will plan, execute, and optimize paid advertising campaigns across major search engines and social media platforms. If you re passionate about digital marketing, data-driven decision-making, and delivering measurable results, this position is perfect for you. About Zkraft Zkraft is a leading digital marketing agency under Vertoz (NSEI: VERTOZ), offering comprehensive digital solutions including strategy, transformation, and media planning/buying. Our AI-powered platforms Ingenious Plex, Azurite, and Qualispace help us optimize campaigns across diverse sectors like E-commerce, BFSI, Healthcare, Real Estate, Government, Automotive, and Entertainment. We combine creativity, technology, and data to craft impactful marketing strategies that deliver real business growth. Key Responsibilities Collaborate with creative and content teams to develop engaging ad visuals and messaging aligned with marketing strategies. Plan, launch, and manage paid campaigns on Google Ads, Facebook, Instagram, and other platforms. Monitor campaign performance and optimize based on KPIs such as CTR, CPC, ROI, and conversions. Conduct A/B tests on creatives, targeting, and landing pages to maximize effectiveness. Perform keyword research to identify high-performing search terms. Write compelling ad copy tailored to specific audiences and platforms. Use analytics tools like Google Analytics and Facebook Ads Manager to track performance and generate insightful reports. Manage budgets effectively to maximize campaign ROI and ensure spend stays within limits. Stay updated on the latest trends and innovations in paid advertising and social media marketing. Qualifications Bachelor s degree in Marketing, Communications, or related field. 1 3 years of experience managing paid campaigns on search and social media platforms. Strong knowledge of PPC strategies, SEM, and audience targeting techniques. Proficient in Google Ads, Facebook Ads Manager, and Google Analytics. Analytical mindset with the ability to interpret data and recommend actionable insights. Creative thinker with excellent communication skills and attention to detail. Ability to manage multiple campaigns simultaneously under tight deadlines. Certifications in Google Ads or Facebook Blueprint are a plus but not mandatory. Qualification : Bachelors degree in Marketing, Communications, or related field

Position: Provider Data Operations Senior Associate Location: Pune, Maharashtra, India Our Mission: Healthcare should work for patients, but often it doesn t. Zocdoc empowers patients by offering the leading healthcare marketplace to easily find and book care across specialties and insurance plans nationwide. Our goal is to make healthcare consumer-friendly, driving quality up and prices down. Your Impact: As a Senior Provider Data Operations Associate, you will be the guardian of Zocdoc s data ecosystem managing, structuring, and analyzing large volumes of data to ensure accuracy and integrity. You'll transform raw data into strategic insights that drive decision-making and continuous improvement. By leveraging AI tools, JavaScript, and SQL, you ll optimize workflows and scale operational processes across product and operations teams. Day-to-Day Responsibilities: Use AI prompts to improve workflow efficiency. Develop and maintain automation scripts using Google Apps Script and JavaScript. Troubleshoot and optimize scripts to enhance functionality and scalability. Extract, manipulate, audit, and analyze data using SQL. Generate actionable insights from various dashboards. Support product decisions with data-backed research and cross-functional collaboration. What Makes You Successful: Bachelor s degree with good academic standing (minimum 60% in 10th/12th/graduation). 3-4+ years of relevant work experience. Proven experience using AI tools for automation. Advanced skills in Microsoft Excel and Google Sheets, including Google Apps Script. Working knowledge of JavaScript and comfort with web-based tools. Understanding of Python and expertise in SQL is a plus. Strong communication skills to translate technical and non-technical information. Ability to manage multiple tasks in a fast-paced environment with a strong sense of accountability. Experience in US healthcare or healthcare technology is a bonus. Benefits: Work with a smart, supportive, and collaborative team. Competitive salary and medical insurance. Perks such as catered lunches, Ping Pong, daycare facilities, and wellness programs. Cellphone and Wi-Fi reimbursements. Competitive parental leave and sabbatical after 5 years. Annual sponsored health check-ups. Certified Great Place to Work (2024-2025). About Zocdoc: Zocdoc is the leading digital health marketplace in the US, connecting millions of patients with nearby, in-network healthcare providers. Founded in 2007, Zocdoc s mission is to empower patients with choice and transparency. We value diversity, collaboration, and innovation, striving to build a better healthcare experience for all. Qualification : Bachelors degree with good academic standing (minimum 60% in 10th/12th/graduation).

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.

Transform Healthcare with Data: Join Cencora as a Data Engineer II At Cencora, our team members are at the heart of everything we do. We are on a mission to create healthier futures, and every individual here plays a crucial role in fulfilling that purpose. We believe in making a difference at the intersection of healthcare, technology, and innovation. If you're ready to shape the future of health and help improve lives globally, Cencora is the place for you. We are looking for a Data Engineer II to join our dynamic team. This role is pivotal in delivering accurate and reliable data to support our Legal and Compliance departments, with a direct impact on driving data-driven decisions that improve operational efficiencies and support strategic business goals. What You ll Do: As a Data Engineer II, you will be responsible for transforming raw data into actionable insights and building solutions that enhance business operations. Your role will span across multiple platforms, using SQL, SAP BusinessObjects, and a variety of other tools, to ensure that our data remains accurate, accessible, and consistent. Enhance Analytics Solutions: Lead the design and implementation of enhancements to business analytics solutions that align with evolving business needs. You ll turn complex business challenges into accessible data access requirements. Data Mining & Analysis: Perform data mining on vast datasets to uncover growth opportunities in sales, margin, and market share. Analyze pricing activities, including discounts, allowances, programs, and contract pricing, to drive profitability. Data Quality Assurance: Validate, cleanse, and aggregate data, ensuring its accuracy and integrity. You ll identify and resolve data inaccuracies, improving the overall quality of enterprise data. Collaboration & Problem-Solving: Work cross-functionally with teams like Inside Sales, Finance, and Sourcing to develop performance forecasts, projections, and plans based on data assumptions and variables. Automated Solutions: Identify opportunities for automated solutions to enhance data quality and efficiency across the enterprise. Report Development: Collaborate with internal stakeholders to define reporting deliverables, ensuring that data is appropriately named, structured, and ready for decision-making. Data Integrity & Monitoring: Monitor and update data changes on a mass scale using tools, ensuring the highest level of data integrity is maintained. What You Bring to the Table: Experience: You have 4+ years of direct experience in healthcare data analytics or data engineering. You know your way around large datasets and understand how to unlock insights that drive business decisions. Technical Expertise: Proficient in SAP and BusinessObjects, with an extensive background in Business Intelligence and SQL. Strong understanding of the wholesale distribution process, including purchases, sales, payments, and supplier rebates. Knowledge of pharmaceutical wholesale processes and chargebacks to wholesalers is a plus. Familiar with data visualization tools like Power BI or Tableau. Analytical Mindset: You re a critical thinker with an eye for detail, always ready to dive into data to uncover trends, identify issues, and solve problems. Mentorship: You bring leadership experience, with a knack for mentoring and guiding team members. Communication Skills: Your ability to communicate complex data insights to non-technical stakeholders is top-notch. You can explain trends and patterns with clarity and confidence. Bonus Points: Familiarity with Microsoft Power BI, Tableau, or other data visualization tools. Experience with Big Data analysis tools and techniques. Background in data governance and data management. What You ll Get from Us: Meaningful Work: At Cencora, your work directly impacts the future of healthcare. Your expertise in data will help us make strategic, data-driven decisions that improve lives globally. Growth Opportunities: We invest in our team members' growth through mentorship, professional development, and the chance to shape the future of healthcare technology. Collaborative Environment: Work alongside innovative professionals in a culture that values diverse perspectives and fosters collaboration. Comprehensive Benefits: We offer a range of benefits designed to support you in every aspect of life health, wellness, work-life balance, and more. Join Cencora Today! If you re ready to leverage your data engineering expertise to drive meaningful change, we d love to hear from you! Apply now to become part of a purpose-driven company at the forefront of innovation in the healthcare sector. Cencora is committed to building a healthier future, and we want you on this journey with us.

Tech Lead Data Overview: As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently. You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization. Key Responsibilities: Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms. Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems. Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy. Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem. Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics. Integrate technical functionality to ensure data accessibility, accuracy, and security. Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders. Experience & Skills Required: 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects. Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies. Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault). Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning. Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization. Experience with DevOps engineering and Continuous Integration/Delivery tools. In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions. Familiarity with the following tools: Data Ingestion: Snaplogic, Glue, Lambda Storage: S3 Processing: Databricks DWH: Redshift, Databricks SQL Warehouse Databases: RDS Languages: Python (pyspark), SQL (sparksql), Java, R BI Tools: PowerBI, Dash, Spotfire, Qlik Catalog: Glue catalog, Unity Catalog Streaming: Kafka, EventHub AI/ML: MLOps, SageMaker Storage/Dataframe: S3, Deltalake, Iceberg, Parquet Qualifications: University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM). Fluency in English. Strong customer focus with excellent communication, teamwork, and negotiation skills. In-depth technical experience, ideally with AWS certification. Experience implementing data-first solutions. Experiences to be Gained: Continuous upskilling in the latest technologies, tools, and design practices. Exposure to R&D operations. Development of leadership and relationship-building skills with internal customers. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : University bachelors degree in Science, Technology, Engineering, or Mathematics (STEM).

Job Title: Performance Engineer Major Responsibilities: Troubleshoot, isolate, and resolve application code issues as well as technical problems related to hardware, software, infrastructure, and networks. Implement and recommend performance improvements across cloud platforms (GCP/Azure) and on-premises environments for tiered systems. Establish and monitor application health by creating dashboards, identifying key performance indicators (KPIs), setting up service-level agreements (SLAs), and implementing alerting, logging, and tracing mechanisms. Utilize network profiling tools (e.g., WireShark, Fiddler) to troubleshoot application and script issues. Conduct root cause analysis of production performance issues and recommend corrective actions to developers. Set up and execute automated performance tests using Docker images; build and destroy application/load test infrastructure as required. Design, script, configure, and execute performance tests for web, mobile, and API systems to validate system performance and stability. Perform performance analysis, benchmarking, and modeling to identify bottlenecks, optimize system parameters, and guide architectural improvements. Actively monitor systems in both production and non-production environments, proactively alerting core teams to prevent potential issues. Develop and maintain the organization s Performance Test Strategy, roadmap, automated test data creation strategy, and reporting approach. Gain a deep understanding of application architecture, infrastructure, non-functional requirements, and production workloads. Stay up to date with the latest industry trends and advancements, continuously evolving the technology stack. Recommended Education/Experience/Skills: Education: Bachelor s degree in Engineering/Technology (Computer Science or a related field) or Master s in Computer Applications. Experience: 4+ years in Software Engineering or Performance Engineering, with at least 1 year of direct experience in Performance Engineering or Software Engineering roles. Strong understanding of application and OS memory management and tuning databases like MongoDB or other NoSQL databases. Experience in conducting performance tests and working knowledge of chaos engineering. Familiarity with DevOps tools, Python, .NET, Angular, and SQL is a plus. In-depth knowledge of web technologies such as HTTP, cookies, AJAX, etc. Proficiency with industry-standard tools like LoadRunner, Neoload, and/or JMeter. Hands-on experience with CI/CD processes and Infrastructure as Code (IaC). 2+ years of experience with performance monitoring tools like Dynatrace, AppDynamics, New Relic, and database monitoring tools such as SQL Profiler, OEM, etc. Strong work experience in distributed environments, including on-premises, Azure, GCP, AWS, or SaaS platforms. Leadership capabilities, including mentoring, coaching, and training team members. Excellent problem-solving and communication skills, with the ability to work in a fast-paced and dynamic environment with minimal supervision. Qualification : Education: Bachelors degree in Engineering/Technology (Computer Science or a related field) or Masters in Computer Applications.

Digital Marketing Specialist Location: Pune Experience: 4+ Years Education: Bachelor s degree in Marketing, Communications, or a related field About the Role We are looking for an experienced and results-driven Digital Marketing Specialist to join our team. In this role, you will be responsible for developing and executing digital marketing strategies, managing client relationships, and overseeing social media platforms to drive brand awareness, engagement, and lead generation. If you are passionate about digital marketing, analytics, and client management, this is a fantastic opportunity to make an impact and grow in a dynamic, fast-paced environment. Key Responsibilities Strategic Marketing & Campaign Management Develop and execute digital marketing strategies and campaigns to achieve business goals. Analyze market trends, customer behavior, and competitor activities to optimize marketing efforts. Manage and optimize paid advertising campaigns (Google Ads, Facebook Ads, LinkedIn Ads, etc.) to maximize ROI. Client & Stakeholder Management Build and maintain strong client relationships, ensuring timely communication and satisfaction. Provide regular performance reports, insights, and recommendations to clients. Address client inquiries and resolve issues promptly and professionally. Social Media & Content Management Create, manage, and optimize social media accounts (Facebook, Instagram, Twitter, LinkedIn, YouTube). Develop engaging content calendars, schedule posts, and monitor engagement. Track social media metrics and adjust strategies for better performance. SEO, SEM & Website Optimization Monitor and improve website traffic and performance through SEO, SEM, and UX enhancements. Conduct keyword research and implement on-page and off-page SEO strategies. Utilize analytics tools (Google Analytics, Search Console) to track and improve website conversions. Data Analysis & Reporting Analyze campaign performance metrics and create insightful reports. Use data to optimize marketing strategies and enhance campaign performance. Stay up-to-date with industry trends and emerging digital marketing technologies. 4+ years of experience in digital marketing, including client management and social media. Strong understanding of SEO, SEM, PPC, social media, email marketing, content marketing, and analytics. Hands-on experience with Google Ads, Facebook Ads, and other digital ad platforms. Proficiency in social media management tools (Hootsuite, Buffer, Sprout Social, etc.). Excellent communication and relationship-building skills. Analytical mindset with the ability to interpret data-driven insights. Strong organizational and multitasking skills with attention to detail. Ability to work both independently and collaboratively in a team environment. Bonus Points If You: Have experience with marketing automation tools, CRM platforms, and web analytics tools. Have worked on lead generation campaigns and conversion rate optimization. Have a creative eye for branding, content, and social media visuals. Exciting Growth Opportunities Work on impactful digital marketing campaigns and grow with the company. Data-Driven Culture Use cutting-edge tools and strategies to achieve results. Collaborative Work Environment Work with a team that values innovation and creativity. Exposure to Multiple Industries Get hands-on experience across diverse sectors and clients. Qualification : Bachelors degree in Marketing, Communications, or a related field