Data Warehouse Jobs in Gurgaon

Job Title: Senior Software Developer (SAP BusinessObjects) Location: Gurugram, India Job Type: Full-Time | Permanent About G+D For over 170 years, Giesecke+Devrient (G+D) has been a global leader in SecurityTech, delivering innovative solutions in Digital Security, Financial Platforms, and Currency Technology. We safeguard physical and digital currencies worldwide. Join us and help shape the future of secure payments and cash management. Role Summary As a Senior Software Developer (SAP BusinessObjects), you will design, develop, and test reports and dashboards for our Compass Cash Center product, which serves banks and cash-in-transit businesses globally. You will focus on SAP BusinessObjects data engineering, universe design, and report creation to provide actionable insights supporting cash management operations. You will collaborate closely with cross-site Scrum teams based in India and Germany. Key Responsibilities Design, implement, and test SAP BusinessObjects reports for cash management solutions. Develop and maintain data models and universe designs aligned with reporting requirements. Create custom Web Intelligence reports and interactive dashboards. Collaborate with stakeholders to gather and understand detailed reporting needs. Assist in effort estimation for new reports and enhancement projects. Troubleshoot and resolve report development and performance issues. Develop proof of concepts (PoCs) to validate reporting designs and assumptions. Provide user training and documentation for reporting tools and processes. Participate in continuous development process improvements. Required Skills & Qualifications Bachelor s degree in Computer Science or related field. 5+ years of experience developing reports using SAP Business Intelligence (SAP BO 4.x). Certification in Web Intelligence for Business Intelligence (BI) Analytics preferred. 2+ years of experience with RDBMS technologies (Oracle, SQL Server). Strong proficiency in SQL and experience with Java and .NET applications. Hands-on experience with SAP BO Administration and universe design. Familiarity with version control tools like Git and Azure DevOps. Excellent troubleshooting and debugging skills. Strong communication skills with experience in multicultural team environments. Our greatest asset is our people. We foster an inspiring and diverse workplace that values professionalism, human values, and continuous growth. Join our international team and help improve security for billions worldwide. Qualification : Bachelors degree in Computer Science or related field.

Quality Control Manager gTech Location: Gurugram, Haryana, India Minimum Qualifications Bachelor s degree in Business, Logistics, Operations, Engineering, or a related field or equivalent practical experience 5+ years of experience managing vendor teams and customer engagement 5+ years of experience with third-party logistics (3PL) relationships 5+ years of experience managing warehousing and supply chain operations Certification or coursework in Operations Six Sigma, COPC, LEAN, or similar methodologies Preferred Qualifications MBA or Master s degree 5+ years of experience using data analysis and business insights to guide strategic decisions Experience in data center logistics Proficiency in SQL and strong data analysis capabilities About the Role As a Quality Control Manager within Google s gTech Ads team, you will lead quality operations efforts that directly impact the customer experience and operational excellence across Google Ads support. Your role will focus on driving efficiency and accuracy in collaboration with vendor partners, operations teams, and product stakeholders. You will be responsible for aligning operational workflows with strategic business goals and ensuring scalable, high-impact solutions through data-driven insights and process optimization. You ll contribute to a dynamic, global support ecosystem that powers advertisers of all sizes from small businesses to global brands while shaping best-in-class customer support quality standards. Responsibilities Lead and improve quality operations with vendor partners, ensuring a frictionless customer experience Translate business and operational requirements into measurable quality outcomes Manage and evolve quality workflows in partnership with internal teams and cross-functional stakeholders Analyze market and business data, financial indicators, and performance trends to inform decision-making Navigate a matrixed, multicultural global environment with effective stakeholder engagement Provide feedback and insights to influence tools, automation, and roadmap decisions Balance business goals and customer needs to optimize performance and service impact Qualification : MBA or Masters degree

Job Title: Senior Data Engineer Location: Gurugram, Haryana, India Company: Builder.ai About Builder.ai At Builder.ai, we re transforming software development so that anyone regardless of technical expertise or budget can bring their software ideas to life. From startups to global enterprises like BBC, Makro, and Pepsi, we ve empowered thousands of customers around the world. With over $450M in Series D funding, including backing from Microsoft and QIA, and recognition from Fast Company as one of 2023 s Most Innovative Companies in AI, we are scaling rapidly and redefining what s possible in software and AI. Life at Builder.ai We believe in experimentation, ownership, and constant improvement. Our team of 800+ is spread across the globe but united by our shared HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We reward your skills with: Stock options in a hyper-growth company International offsites Unlimited learning opportunities A culture that values diversity, innovation, and impact About the Role As a Senior Data Engineer, you'll be a foundational part of our growing Data & Analytics team. We're not just building pipelines we're engineering the data backbone for an entire platform that powers AI-driven software creation, operational intelligence, and customer solutions. This role will focus on building robust, scalable, and efficient data systems, and working with Data Scientists, Analysts, and Software Engineers to ensure our data infrastructure is best-in-class. What You ll Be Doing Own and operate end-to-end data pipelines across critical business domains Optimize compute, storage, and query performance using modern big data technologies Manage and evolve our CI/CD workflows and data infrastructure Improve data accuracy, integrity, and reliability for mission-critical datasets Collaborate with cross-functional teams (Analytics, AI, Product) to deliver business value Drive best practices in data engineering, architecture, and tooling Lead projects independently while clearly communicating with stakeholders on timelines and expectations Mentor junior data engineers and contribute to a strong data culture Must-Have Experience: Expert in ETL orchestration tools (e.g., Dagster, Airflow, Luigi) Proficient in SQL databases (e.g., Snowflake, PostgreSQL) Deep understanding of big data systems (e.g., Spark, Hadoop, Hive) Strong programming in Python Experience with DBT and data modeling best practices Deep experience with cloud platforms (especially Azure) Familiarity with streaming data systems (e.g., Kafka, Kinesis) Exposure to MLOps and experience delivering clean, usable datasets to AI/ML teams Experience with CI/CD and Agile environments Nice to Have: Background in ML infrastructure or knowledge graphs Experience working in product-led B2B/SaaS organizations Contributions to open-source data tools What You ll Get Quarterly discretionary performance pay Stock options in a $450M-funded scale-up 24 days annual leave + public holidays 2 Builder Family Days + Christmas/New Year break Fully covered private medical insurance Free lunch at our Gurugram HQ Referral bonus scheme Trips abroad and global collaboration Why You Should Join If you re ready to build world-class data systems that power AI at scale, and want to help shape how software will be built in the future this is your moment. Apply today and transform the way software is created one data pipeline at a time.

Job Title: Implementation Consultant Logistics SaaS | Gurgaon, Haryana Location: Gurgaon, Haryana Job Type: Full-time Industry: Logistics Technology | SaaS Company: Shipsy About Shipsy Shipsy is a global SaaS leader in logistics and supply chain automation, empowering enterprises with end-to-end solutions for transportation and warehousing optimization. Operating in a trillion-dollar industry that's still largely manual, our advanced logistics technology is transforming how businesses manage their supply chains reducing costs, improving delivery efficiency, and enhancing customer experience. Trusted by major global enterprises including Reliance, Domino s, Burger King, Landmark Group, UPS Gulf, and DTDC Express, Shipsy processes over 2 million shipments daily. In fact, nearly 10% of India s container trade is tracked through our platform. Backed by leading investors like Peak XV Partners, Info Edge, and A91 Partners, Shipsy has raised over $35 million and continues to grow with a global team of 280+ professionals across India, the Middle East, and Southeast Asia. Role Overview: Implementation Consultant As an Implementation Consultant at Shipsy, you will be a key driver in onboarding our enterprise clients and ensuring successful deployment of our logistics SaaS solutions. You will work closely with internal teams and client stakeholders to understand requirements, configure solutions, and ensure smooth implementation tailored to customer needs. This is a high-impact, client-facing role where your technical expertise, problem-solving ability, and communication skills will directly influence customer success and satisfaction. Key Responsibilities Lead end-to-end software implementation projects for new clients across various geographies. Collaborate with cross-functional teams including Product, Engineering, and Customer Success to deliver customized solutions. Gather and analyze client requirements, define project scopes, and ensure timely delivery. Conduct product training, system configuration, and UAT support for clients. Continuously monitor client progress and provide support during onboarding and transition. Identify areas for process improvement and contribute to solution enhancements. Bachelor s degree in Engineering, Computer Science, or related field. 2 5 years of experience in a client-facing role, preferably in SaaS implementation or logistics tech. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Ability to manage multiple projects in a fast-paced environment. Willingness to travel as needed for client engagements. Competitive Salary + Performance-Based Incentives Professional development opportunities and continuous learning support. Work alongside top talent from IITs, IIITs, NITs, and global research institutes. Collaborative and inclusive work culture with strong mentorship and growth focus. Unique employee benefits including a scholarship program and wellness initiatives. Grow With Us At Shipsy, we don t just build world-class logistics solutions we also build careers. Join a young, diverse, and energetic team that values innovation, collaboration, and making a real-world impact. Experience a vibrant culture that encourages ownership, learning, and having fun while doing meaningful work. Apply Now to be a part of Shipsy's journey to transform global logistics. Qualification : Bachelors degree in Engineering, Computer Science, or related field.

Job Title: Business Development Representative (BDR) | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Department: Demand Generation Reports To: Head of Demand Generation Marketing Company: Shipsy About Shipsy Shipsy is a global leader in the logistics technology space, providing cutting-edge SaaS solutions to streamline warehousing and transportation automation. Our innovative platform empowers businesses to optimize logistics, reduce costs, and enhance customer experiences across India, the Middle East, and Southeast Asia. With over 2 million shipments processed daily and approximately 10% of India's container trade tracked on our platform, we are at the forefront of transforming logistics. Backed by investors like Peak XV Partners, Infoedge, and A91 Partners, we are rapidly expanding, with over 280+ employees across offices in Gurgaon, Mumbai, Bangalore, and Dubai. At Shipsy, we foster a dynamic, fun, and collaborative work culture that supports growth, learning, and innovation. We pride ourselves on our diverse team of individuals from top institutes and global companies, contributing to an exciting environment full of opportunity. Role Overview: Business Development Representative (BDR) As a Business Development Representative (BDR) at Shipsy, you will play a pivotal role in driving new business opportunities by actively prospecting and engaging potential clients. Your outreach efforts will be key to expanding our customer base and generating interest in our revolutionary logistics platform. If you're passionate about sales and love the thrill of connecting with new clients, this is the role for you! Key Responsibilities Outbound Prospecting Initiate contact with potential clients through cold calls, emails, and social media outreach. Create compelling messages and engage prospects to drive interest in Shipsy s innovative solutions. Lead Qualification Qualify leads by understanding the specific needs of prospects and ensuring there s a strong fit between their requirements and Shipsy s offerings. Drive potential clients through the early stages of the sales funnel. Market Research Conduct market research to identify target industries, sectors, and potential clients that will benefit from Shipsy s logistics automation solutions. Analyze and segment markets to understand which businesses are ripe for Shipsy s services. Team Collaboration Collaborate with sales and marketing teams to align strategies, share insights, and drive a cohesive approach to lead generation and customer engagement. Participate in regular team meetings to discuss performance and strategy adjustments. CRM Management Track all interactions with prospects and leads in our CRM system to ensure follow-ups are timely and accurate. Manage pipeline and maintain accurate data reporting to measure performance and conversions. Performance Metrics Track and measure the success of outbound activities, sharing key wins and lessons learned with the team to continuously improve processes. Meet and exceed monthly, quarterly, and annual targets for lead generation and conversion. Continuous Improvement Stay updated on industry trends, emerging technologies, and best practices in sales development to constantly evolve your approach. Suggest and implement improvements to optimize outreach and lead generation strategies. Qualifications & Skills Bachelor s degree in Business, Marketing, or a related field (experience in a similar role is a plus). 2-3 years of experience in outbound sales, business development, or lead generation, preferably in a B2B environment. Strong communication skills with the ability to engage prospects and build relationships over the phone, email, and social media. Self-motivated and goal-oriented with a proven ability to meet and exceed targets. Proficiency in CRM tools (Salesforce, HubSpot, etc.) and the Microsoft Office Suite. Familiarity with sales automation tools is a plus. Ability to work in a dynamic, fast-paced environment, with a strong desire to contribute to a growing company. A positive attitude, an adventurous spirit, and a passion for sales and business development. Competitive salary with performance-based incentives to reward your hard work and achievements. Opportunities for career growth and professional development in a fast-paced, innovative company. A fun, collaborative, and inclusive workplace culture where your ideas are heard, and your success is celebrated. Access to learning resources and skill development programs to continue growing professionally. At Shipsy, you re not just taking on a job you re embarking on a career path that s full of learning, growth, and innovation. If you are a go-getter, passionate about sales, and eager to make a direct impact in a rapidly growing company, then we d love to hear from you! Qualification : Bachelors degree in Business, Marketing, or a related field (experience in a similar role is a plus).

Job Title: Account Director | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Company: Shipsy About Shipsy Shipsy is a global leader in the logistics technology space, offering cutting-edge SaaS solutions that automate warehousing and transportation operations. Our platform helps businesses significantly reduce logistics costs, streamline workflows, and enhance customer experience. We work with renowned enterprises across India, the Middle East, and Southeast Asia, including major brands like Reliance, Domino's, UPS Gulf, DTDC Express, Burger King, and Landmark Group. Shipsy s platform processes over 2 million shipments daily, with 10% of India's container trade being tracked on our system. With backing from leading investors like Peak XV Partners, Infoedge, and A91 Partners, we ve raised approximately $35M to date. Our team is over 280+ members strong, spread across offices in Gurgaon, Mumbai, Bangalore, and Dubai. We re committed to building a fun, dynamic, and growth-oriented work culture, where every team member can thrive and make a meaningful impact. Role Overview: Account Director As an Account Director at Shipsy, you will play a key role in growing and nurturing our relationships with large global clients. You will take ownership of the P&L for critical accounts, ensuring we meet revenue targets, business success metrics, and customer satisfaction. Your role will involve strategic leadership, collaborating with cross-functional teams, driving projects that align with client goals, and providing insights to improve our products and services. As the main point of contact for high-level stakeholders, you'll help shape the future of our product while contributing to Shipsy s overall growth. Key Responsibilities Client Relationship Management Build and maintain strong relationships with CXOs and key decision-makers at large global accounts. Serve as the strategic advisor to clients, ensuring long-term value delivery from Shipsy s platform. Manage a portfolio of critical accounts, ensuring high customer satisfaction, retention, and business success metrics (NPS, revenue growth, etc.). Revenue Growth Achieve revenue targets by identifying new business opportunities and growing existing accounts. Drive the expansion of product offerings within existing accounts, ensuring clients are fully utilizing Shipsy s solutions to meet their logistics needs. Thought Leadership and Industry Insight Provide thought leadership by leveraging deep industry, product, and customer insights to build tailored solutions. Stay ahead of industry trends and bring back critical feedback to the product team to inform the roadmap and ensure alignment with customer needs. Cross-functional Collaboration Collaborate closely with product teams, engineering, and other stakeholders to deliver innovative solutions that address client challenges. Facilitate the implementation process, ensuring projects are executed on time and meet client expectations. Strategic Account Planning Lead strategic account planning sessions with clients, developing mutual performance objectives, financial targets, and critical milestones for short-term and long-term success. Oversee project management, ensuring timelines, schedules, and deliverables are met. Process Optimization Identify and implement best practices, tools, and resources to optimize the client management function and ensure successful project outcomes. Innovate new methods of analysis and strategies to improve client interactions and maximize value. Qualifications & Skills B.Tech from a Tier 1 School (preferred). Strong analytical skills, with the ability to solve complex problems using first principles thinking. Proven ability to collaborate cross-functionally and lead teams towards shared business goals. Excellent communication and interpersonal skills, with a talent for building relationships with senior stakeholders and CXOs. Strong business acumen with the ability to drive revenue outcomes, manage P&Ls, and contribute to strategic planning. Experience in managing large accounts and a deep understanding of SaaS or logistics tech industries. Problem-solving and data management skills, with a focus on delivering results and meeting client needs. Growth opportunities in a dynamic and rapidly expanding company. Work with top talent from premier institutes and companies. Innovative, supportive, and inclusive company culture where your ideas and contributions are valued. Competitive salary with performance-based incentives. World-class benefits and professional development programs to help you grow in your career. Become part of a global team at the forefront of logistics technology. Join Shipsy and contribute to transforming the logistics space while building a career filled with growth, innovation, and success. Qualification : B.Tech from a Tier 1 School (preferred).

Growth Analyst Location: Gurugram, India Employment Type: Full-time About ixigo ixigo is a technology company revolutionizing the way Indian travelers plan, book, and manage their trips. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo helps travelers make smarter decisions through AI, machine learning, and data science. With apps like ixigo, ConfirmTkt, and AbhiBus, ixigo offers travelers the ability to book train, flight, bus tickets, hotels, and much more. In 2022, ixigo was named one of the Top 10 Most Downloaded Travel Apps worldwide (data.ai). Headquartered in Gurugram, ixigo also has offices in Bangalore (ConfirmTkt) and Hyderabad (AbhiBus). Job Description We are looking for a Growth Analyst to join our dynamic team. As a Growth Analyst, you will help us unlock growth opportunities by analyzing customer behavior and campaign performance. You will collaborate closely with marketing, product, and data teams to develop data-driven strategies that drive user acquisition, activation, retention, and revenue growth. Your work will directly impact how we scale smarter and faster. Key Responsibilities Data Analysis & Insights: Analyze user behavior, campaign performance, and funnel metrics to identify and drive growth opportunities. Reporting & Dashboards: Build and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to track key performance indicators (KPIs). Data Querying & Processing: Develop SQL queries to extract, clean, and aggregate data from various sources and databases. A/B Testing & Experimentation: Design and run A/B tests and experiments to evaluate new growth initiatives and optimize performance across all user touchpoints. Strategic Collaboration: Work closely with marketing and product teams to design data-driven growth strategies that increase customer acquisition, activation, retention, and lifetime value (LTV). Campaign Measurement & Optimization: Support the measurement of paid and organic campaigns (including email, search, social media) and provide actionable insights to improve their effectiveness. Core Technical Skills SQL & Relational Databases: Advanced querying skills, performance tuning, working with window functions and CTEs. Data Visualization & BI: Proficiency in tools like Tableau, Power BI, or Looker for building dashboards and reports. Spreadsheet Modeling: Expert-level proficiency in Excel (pivot tables, macros; VBA is a plus). Scripting Languages: Familiarity with at least one scripting language (e.g., Python or R) for data cleaning, ETL tasks, and basic machine learning prototypes. Marketing Analytics Tools: Hands-on experience with Clevertap and Firebase for user engagement and campaign tracking. Good to Have Marketing Analytics Tools: Experience with tools like Google Analytics 4, Mixpanel, and Clevertap for campaign performance tracking. Ad Platforms: Basic understanding of programmatic ad platforms (e.g., DV360, Meta Ads API). Data Warehouses: Exposure to SQL-based data warehouses like Snowflake, BigQuery, or Redshift. Impactful Work: Directly contribute to the growth and success of a leading travel tech company. Collaborative Culture: Work with talented professionals across diverse teams. Career Growth: Opportunities for fast-paced career development. Competitive Compensation: Enjoy a competitive salary and benefits package. Work-Life Balance: We encourage a healthy work-life balance in a supportive environment.

Director, Data Protection Officer Location: Gurgaon, India Full Time Company: Meta Meta is looking for a Director to join its Product Compliance and Product organization as India s local Data Protection Officer (DPO), reporting to the Global Data Protection Officer. We are seeking someone who thrives in a fast-paced, dynamic environment, has a strong ability to navigate complex cross-functional initiatives, and is excited to provide strategic guidance to ensure compliance with India s new privacy regulations. The Global Data Protection Officer is responsible for monitoring internal compliance with global data protection laws. In this role, you will represent the Global DPO office in India and work closely with local cross-functional teams to fulfill the responsibilities of the Global DPO. You will also engage with India s Data Protection Board and the Ministry of Electronics and IT (MeitY) to help Meta align with the regulator s expectations. To be successful in this role, you should have extensive knowledge of India s Digital Personal Data Protection Law, data protection laws, regulations, and best practices, with a proven track record in ensuring compliance. You will also manage regional DPOs overseeing regions such as AMET (Africa, Middle East, Turkey), Latin America, Canada, and Asia Pacific. This is a leadership role that requires strong cross-functional collaboration, excellent project management skills, and the ability to work effectively in an ever-evolving regulatory environment. Responsibilities: Manage the relationship with India s Data Protection Board and the Ministry of Electronics and IT (MeitY), while overseeing relationships with other Data Protection Authorities in the AMET, Latin America, Canada, and APAC regions. Lead partnerships with key stakeholders to establish processes for how the Global DPO will carry out its responsibilities. This includes advising on key decisions, assessing privacy compliance programs, supporting escalations, and responding to user and regulator inquiries. Provide strategic leadership on how Meta complies with data protection laws (including India s DPDP) across regions. Oversee the execution of privacy law mandates, such as reviewing Data Protection Impact Assessments (DPIAs), addressing Data Subject Rights (DSR) escalations, and advising on privacy compliance. Drive accountability and performance through key metrics to measure success and ensure critical projects remain on track. Anticipate bottlenecks, provide escalation management, and ensure user privacy is always prioritized. Minimum Qualifications: 12+ years of experience in compliance, program/project management, operations, or strategy. Experience engaging with regulators and managing complex relationships with external stakeholders. Experience working in a product environment and collaborating with cross-functional stakeholders, including legal, policy, and product teams. Proven experience advising on compliance with data protection laws and privacy requirements. Experience building and iterating on complex processes requiring both process and change management. Exceptional communication skills with a track record of aligning cross-functional teams around shared goals. Strong project management, problem-solving, time management, and organizational skills. Ability to thrive in ambiguity and an evolving regulatory environment while building new processes and driving standardization. Preferred Qualifications: In-depth knowledge of data protection and privacy requirements, especially those applicable to global tech companies. Experience implementing mandated requirements of the DPO or acting as a DPO. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook s launch in 2004, Meta has changed how people connect. Apps like Messenger, Instagram, and WhatsApp have empowered billions of users worldwide. Meta is now expanding beyond 2D screens into immersive experiences such as augmented reality and virtual reality, helping build the next evolution in social technology. By joining Meta, you ll be part of shaping the future of digital connection beyond the constraints of screens, distance, and even physics! Equal Employment Opportunity: Meta is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

Job Title: Manager - Business Analytics Location: Gurugram Experience: 6+ Years (1+ Years as Manager in MIS, WFM, or Reporting) Education: Any Graduation Job Description: We are seeking a Manager - Business Analytics to effectively lead our Business Analytics function and manage a team of 15-20 business analysts. In this role, you will be responsible for implementing tools and strategies that translate raw data into valuable business insights. Your goal will be to help drive high performance and quality by leveraging data for decision-making. Strong logical reasoning skills, business intelligence, and excellent communication abilities are essential for this role. Key Responsibilities: Team Leadership: Lead and manage a team of 15-20 Business Analysts, providing guidance and support in their daily activities and ensuring the accuracy and efficiency of their work. Data Reporting & MIS Generation: Generate, maintain, consolidate, and track various reports, ensuring timely and accurate delivery. Develop and execute daily, weekly, and monthly MIS Reports, utilizing advanced Excel/VBA, PPT, and MySQL. Update informative dashboards regularly with data visualization elements like Bar Charts, Pie Charts, etc. Reconcile and email MIS reports with data visualization details and track business performance. Data Analysis & Experimentation: Conduct data-based experiments to identify opportunities for improving the decision-making process. Develop and execute statistical modeling techniques for better business insights and to cover adjacent categories. Identify opportunities for automating reports, snapshots, and dashboards using advanced formulas, macros, and VB. Strategy & Process Optimization: Develop strategies for effective data analysis and reporting, ensuring that insights generated are aligned with business goals. Build systems and tools that can transform raw data into actionable business insights. Work closely with cross-functional teams to ensure that all analytics solutions are correctly configured and implemented. Data Quality & Integrity: Oversee all analytics operations to identify discrepancies and ensure the data is of the highest quality. Identify gaps in reporting systems and drive improvements to ensure the accuracy of business-critical data. Cross-Functional Collaboration: Collaborate with other departments to gather insights, ensure consistent reporting, and solve business challenges using data-driven decisions. Skills and Qualifications: Experience: Minimum 6 years of overall experience in analytics or reporting, with at least 1 year as a Manager in MIS, WFM, or Reporting. Technical Skills: Proficient in Advanced Excel, VBA, PowerPoint, and MySQL. Experience in building and maintaining dashboards, utilizing data visualization tools. Strong understanding of statistical modeling techniques and experience in applying them to business problems. Leadership: Proven experience in managing and mentoring a team, with the ability to guide the team towards effective problem-solving and reporting outcomes. Analytical Mindset: Strong problem-solving abilities and a keen eye for detail, ensuring data accuracy and the generation of actionable insights. Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data insights in a clear and understandable manner to stakeholders at all levels. Automation & Optimization: Expertise in automating reporting processes using advanced formulas, macros, and VB to improve efficiency and accuracy. Additional Information: Work Days: 6 Days a week. Location: Gurugram. Education: Any graduation (Bachelors or higher). What We Offer: Competitive salary and benefits. A collaborative and growth-oriented work environment. Opportunity to make a significant impact on business performance using data-driven insights.

About KPMG in India KPMG in India is a leading professional services firm, a member of KPMG International Limited. Established in August 1993, KPMG India is known for delivering high-quality services, supported by our global network and in-depth knowledge of local regulations, markets, and competition. With offices across key cities such as Ahmedabad, Bengaluru, Chennai, Gurugram, Hyderabad, Mumbai, Noida, and more, we provide comprehensive services to national and international clients across diverse sectors. We focus on offering industry-specific, technology-driven solutions that are rapid, performance-oriented, and rooted in our deep understanding of both global and Indian business landscapes. About Lighthouse Lighthouse, KPMG's Big Data, AI & Analytics practice, specializes in providing advanced solutions in Data Engineering, Data Science, Data Visualization, and Process Analytics. With a strong industry focus, we drive innovation and deliver transformative results for our clients. Role Overview We are seeking a skilled professional to join our team, where you will play a key role in designing, developing, and implementing enterprise-level applications using Snowflake. The role will involve working with cutting-edge data technologies to ensure the efficient flow, processing, and visualization of data. Key Responsibilities Design and Develop Snowflake Solutions: Build and deploy enterprise-scale applications leveraging Snowflake, optimizing for both performance and scalability. Create and Manage Data Pipelines: Use DBT to develop, test, and deploy data pipelines ensuring seamless data flow and processing. SQL Query Optimization: Develop and fine-tune SQL queries to enhance performance and scalability of applications. Security & Access Management: Implement identity and access management features and create robust authorization frameworks to ensure secure access controls. Troubleshoot Performance Issues: Address and resolve performance and scalability challenges within the Snowflake environment. Collaborative Solutions Development: Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver data-driven solutions. Maintenance & Improvement: Maintain and optimize existing Snowflake infrastructure and processes to ensure continued efficiency. Stay Updated: Continuously improve skills and knowledge by staying abreast of new Snowflake features and industry best practices. Qualifications Educational Requirements: BE/B.Tech/ME/M.Tech/MCA or any relevant degree. Equal Opportunity Employment (EOE) KPMG India is committed to providing equal employment opportunities to all applicants and employees, regardless of color, caste, religion, gender, age, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. We embrace diversity and encourage you to voluntarily submit demographic details to help us in our diversity initiatives. Please note that submitting this information is entirely voluntary and will not affect your application in any way. Qualification : BE/B.Tech/ME/M.Tech/MCA or any relevant degree.

About KPMG in India KPMG in India is a professional services firm, affiliated with KPMG International Limited. Established in August 1993, KPMG India leverages its global network of firms while being deeply knowledgeable about local laws, regulations, markets, and competition. We have offices across India in cities including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. Our services cater to both national and international clients across various sectors. We are committed to providing rapid, performance-oriented, industry-focused, and technology-enabled services that combine a deep understanding of both global and local industries, along with our extensive experience in the Indian business environment. Role: Snowflake + AWS Expertise Job Description: This role involves working with Snowflake and AWS platforms, focusing on providing scalable, high-performance solutions. The ideal candidate will help deliver industry-leading data solutions by leveraging these powerful platforms. Equal Employment Opportunity (EEO) Information KPMG India is an equal opportunity employer, committed to providing opportunities to all applicants and employees, regardless of color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or any other legally protected status. We value diversity and encourage you to voluntarily submit demographic information to help us with our diversity efforts. Please note that providing this information is optional and will not affect your application in any way. Qualifications: Educational Requirements: B.E. or equivalent degree. Qualification : B.E. or equivalent degree.

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

We are seeking a highly experienced Senior Snowflake Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing robust data solutions within Snowflake, ensuring they are efficient, secure, and scalable. Responsibilities Engage in Snowflake data modeling to create and maintain optimized models tailored for data ingestion and analytical needs Develop and sustain ETL pipelines to consolidate data from diverse sources into Snowflake while preserving data integrity Fine-tune the performance of Snowflake deployments, optimize storage usage, and manage data partitioning for prompt and reliable data access Establish strong data security measures, implement role-based access controls, and apply data masking techniques to uphold data governance standards Leverage tools like dbt and Apache Airflow for scheduling and automating data processes and pipeline surveillance Cooperate closely with cross-functional teams including data scientists and business analysts to solve intricate data issues and carry out effective troubleshooting Create detailed documentation and reports on data architectures, ETL processes, and system operations to facilitate clear communication and knowledge sharing across the organization Requirements 5-8 years of experience in a data engineering role Background in information warehousing with AWS or Azure, utilizing DBT, Snowflake Proficiency in Python programming, workflow management tools including Argo, Oozie, or Airflow Snowflake modeling fundamentals like roles, schema, and databases Competency in data vault modeling, designing, and developing data transformation pipelines using DBT We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of experience in a data engineering role

Job Purpose and Impact The Contract Desk Coordinator, under direct supervision, will assist in coordinating import/export processes, managing customs documentation, and ensuring timely shipping and receiving of foreign merchandise. This role involves issuing import licenses and managing monetary transactions related to imports. Key Accountabilities 1. Data Reconciliation Manage data related to inventory, warehouse transfers, loading orders, quality, claims, demurrage, and dispatch cases. 2. Relationship Management Maintain and foster relationships with small accounts, customers, clients, suppliers, and other business partners. 3. Customs Compliance Collaborate with external authorities to ensure adherence to customs requirements and regulations. Comply with government laws and regulations in both home and foreign countries. 4. Document Management Prepare, review, approve, and maintain import and export documentation. 5. Problem-Solving Address basic issues under supervision and escalate more complex problems to the appropriate teams. 6. Additional Duties Perform other duties as assigned to support business objectives. Qualifications Preferred Qualifications: Education: Minimum of a bachelor s degree in a related field. Experience: At least 3 years of relevant working experience. Qualification : Minimum bachelor's degree in related field

Position: Customer Satisfaction & Process Excellence Specialist Location: Gurgaon Experience: 5 to 8 years Education: MBA / PGDM in Marketing, Sales, or Operations Role Overview We are looking for a Customer Satisfaction & Process Excellence Specialist to drive Sales Satisfaction Index (SSI) initiatives and champion sales process improvements across our dealer network. This role will be instrumental in improving the customer experience, driving digital adoption, and supporting sales effectiveness through actionable insights and structured process excellence initiatives. Key Responsibilities Survey Planning & Execution Plan and manage SSI, Pre-Sales, and need-based sales surveys within defined timelines. Ensure quality data collection and compliance with established protocols. Data Analysis & Reporting Analyze and deliver dealer-wise and factor-specific survey reports. Monitor key satisfaction metrics and identify trends impacting customer experience. Customer Grievance Monitoring Investigate hot alerts and complaints from SSI surveys to uncover recurring customer issues. Coordinate resolution efforts with internal teams and ensure timely closure. Digitalization & Tool Enhancement Work with IT/Digital teams to digitize survey processes, ensuring smooth integration with platforms like Salesforce. Lead testing and improvement cycles for digital SOP manuals and customer-facing applications. Dealer Performance Support Share survey outcomes with regional teams and assist in developing dealer-specific improvement plans. Track progress of underperforming dealerships and provide structured feedback. Process Improvement Own and update digital Sales SOPs annually, ensuring alignment with evolving customer expectations and business goals. Collaborate with cross-functional teams to improve workflow efficiency and service quality. CX Monitoring & Digital Journey Optimization Regularly assess customer-facing digital touchpoints to ensure optimal user experience. Coordinate updates to maintain a seamless, intuitive customer journey. Key Skills & Competencies Strong analytical mindset and problem-solving capability Proficient in survey design, data analysis, and reporting tools Working knowledge of CRM platforms (Salesforce preferred) In-depth understanding of automotive retail sales processes Proficiency in MS Excel, PowerPoint, and data visualization tools Excellent communication and stakeholder management skills Preferred Qualifications MBA / PGDM in Marketing, Sales, or Operations 5 8 years of experience in customer experience, process improvement, or market research Automotive industry experience is highly preferred Skills Required Sales & Customer Experience Process Improvement Stakeholder Communication Survey & Data Analytics Drive customer-centric transformation and be at the forefront of sales excellence. Apply now and contribute to shaping a superior customer journey across our dealer network. Qualification : MBA / PGDM in Marketing, Sales, or Operations