Data Solutions Jobs in Gurgaon

Position: IT Sales Specialist Experience: 2-3 Years Working Days: 5 Days per Week Working Hours: 9 Hours per Day Qualification: Any Graduate (or equivalent) with relevant experience Job Overview: We are seeking an experienced IT Sales Specialist to drive sales of enterprise IT solutions including data sales, messaging software, and data validation services. The ideal candidate will be skilled in building strong client relationships, identifying business opportunities, and closing deals while maintaining a robust sales pipeline focused on corporate and government sectors. Key Responsibilities: Target Achievement Meet or exceed individual and team sales targets. Drive consistent revenue growth by acquiring and developing new business. Customer Profiling & Prospecting Conduct in-depth research to identify target markets and key decision-makers. Build and maintain a strong sales pipeline focused on corporate and government institutional sectors. Solution Selling Present and sell enterprise-grade IT solutions such as data sales, data markets, messaging software, and data validation services. Align client business needs with appropriate technology solutions. Client Relationship Management Develop and maintain long-term relationships with clients for sustained business growth. Manage full sales cycle from prospecting to closure and payment collection. Strategic Business Development Formulate business plans emphasizing profitability, cost control, and strategic growth. Identify opportunities for cross-selling and up-selling within existing accounts. Training & Development Participate in product training to stay current on IT solutions. Coach and mentor junior team members to improve their sales effectiveness. Market Research & Insights Analyze market trends, customer pain points, and competitor activity to refine sales strategies. Deliver customized presentations and demonstrations tailored to client needs. Operational Excellence Follow company policies, procedures, and compliance standards. Conduct performance reviews and share insights with management. Requirements: Technical Expertise Proven experience in selling enterprise IT solutions including data sales, messaging, and validation services. Proficiency in video conferencing, email automation, CRM, and sales technologies. Sales Skills Strong understanding of the sales process, CRM tools, and go-to-market strategies. Experience with B2B sales, particularly in IT and technology sectors. Market Knowledge Knowledge of global markets, customer segmentation, and industry-specific dynamics. Experience working across diverse industries and international markets. Communication & Soft Skills Excellent presentation, negotiation, and closing skills. Ability to engage with C-level executives and key decision-makers effectively. Strong relationship management, multitasking, and time management abilities. Self-motivated, target-driven, and a collaborative team player with exceptional communication skills.

Job Summary: Associate, Technical Application Support Location: Gurgaon, India Department: Operations Group Division: S&P Global Market Intelligence Role Overview: As an Associate in Technical Application Support, you will be a key technical consultant supporting S&P Global s Channels Data Delivery solutions. You will work closely with global product specialists, sales teams, and external customers to deliver high-quality technical assistance around product deployment, configuration, performance tuning, and troubleshooting. Your expertise will bridge customer environments and our data delivery products, ensuring smooth integration into mission-critical workflows. Key Responsibilities: Provide deep technical support for Channels Data Delivery products, including Xpressfeed Loader deployment and configuration. Assist with sizing, deployment, troubleshooting, and performance tuning in client environments. Partner with pre- and post-sales teams to support client needs and opportunities. Drive innovation by proposing automation and efficiency improvements in support processes. Monitor evolving product features, participate in strategy discussions, and contribute to product testing. Act as the voice of the customer by relaying feedback for product enhancements. Support client implementations, upgrades, migrations, and ongoing technical operations. Who You Are: Education: Degree in Computer Science, Information Systems, or equivalent experience. Experience & Skills: Strong troubleshooting and problem-solving skills with attention to detail. Hands-on experience with software deployments, Windows/Linux OS, and SQL querying. Familiarity with cloud environments (AWS, Azure, or Google Cloud), especially AWS EC2 and RDS/Aurora. Comfortable leading client-facing technical discussions. Preferred: Knowledge of finance, capital markets, and database administration (SQL Server, Oracle, PostgreSQL). Experience with FTP, proxies, network and security protocols, and data integration techniques. Familiarity with Agile/SCRUM and product development lifecycle. What You ll Gain: A dynamic role interacting directly with clients and global teams on enterprise-level financial data products. Exposure to the evolving landscape of financial markets and technology-driven data solutions. Opportunities for career growth through continuous learning, skill development, and cross-functional collaboration. Access to competitive benefits supporting your health, well-being, and financial future. About S&P Global Market Intelligence: S&P Global Market Intelligence provides trusted data, insights, and technology solutions that empower customers to make informed business decisions. Our team is dedicated to excellence, integrity, and innovation in delivering essential intelligence to global markets. Qualification : Degree in Computer Science, Information Systems, or equivalent experience.

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.

Job Title: Client Onboarding Specialist Location: Gurgaon, Haryana Experience: 3-4 Years in a Customer/Client-Facing Role Department: Customer Success Employment Type: Full-Time About Spyne At Spyne, we re on a mission to revolutionize automotive retailing using Generative AI. Every year, 52 million cars are sold in the US, worth over $1700 billion, and the used-car market is valued at $1000 billion. Our AI-powered solutions transform car visuals into premium studio visuals, helping dealerships and marketplaces in the US and Europe engage online visitors, increase showroom visits, and ultimately drive sales. Spyne is growing rapidly, and we aim to expand our software solutions within the used-car market to cover all aspects of the dealer journey from car acquisition and appraisal to listing, marketing, selling, and managing customer relationships. Supported by top investors like Accel Partners and Storm Ventures, Spyne is poised to become a leading software provider in the used-car market. Join our team and help us reshape the future of digital production in the automotive industry! What We Are Looking For We are seeking a highly motivated Client Onboarding Specialist to join our Customer Success team. The ideal candidate will be responsible for ensuring seamless onboarding of customers, helping them successfully implement Spyne s products, and fostering strong relationships that drive customer satisfaction, retention, and expansion. Lead the entire customer onboarding process: Ensure a smooth transition from initial engagement to successful go-live and implementation of Spyne products. Cultivate strong customer relationships throughout the onboarding phase to ensure long-term success. Handle customer issues from start to finish, working in a dynamic and fast-paced environment. Respond to support queries via chat, email, and video conferencing, providing clear and timely solutions. Analyze customer data to continuously improve the customer experience. De-escalate and resolve issues using platform and industry expertise to ensure customer satisfaction. Work under time constraints and meet deadlines, often with unexpected challenges, to meet customer needs. Become a product expert and go-to resource for both customers and internal teams. Collaborate with cross-functional teams to identify opportunities for automation or added features to better serve customers. What You Must Have Bachelor s/Master s degree with 3-4 years of experience in a customer/client-facing role. Experience with US clients is an added advantage. Strong problem-solving abilities with a keen attention to detail. Exceptional written and verbal communication skills in English. Hands-on experience with HubSpot and Freshdesk is mandatory. Openness to working in US shift timings. Young Startup Culture: Our team has an average age of 25-26 years, and even during the Great Resignation , we had near-zero attrition a testament to our company culture. Top-Rated AI Tech Company: With a 4+ rating on Glassdoor, Spyne is recognized as one of the top-rated AI tech companies. Gender Diversity: We have one of the best male-to-female ratios in the AI tech industry. Employee Support: We offer best-in-class employee supportive policies in line with government mandates. Customer-Centric: We are obsessed with delivering the best customer experience and ensuring client delight. We are in the growth stage, and it s the perfect time to join! Be part of a team that is set to grow 10X+ and contribute to a revolutionary transformation in automotive retail. If you're passionate about customer success and want to be part of a fast-growing, innovative company, Spyne is the place for you. Apply now to start your journey with us! Qualification : Bachelors/Masters degree with 3-4 years of experience in a customer/client-facing role.

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.

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 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.

Job Description: Vice President, Operations - Index & Data Solutions About the Team: The Index & Data Solutions (IDS) team at BlackRock is responsible for shaping and executing the firm s data strategy, overseeing relationships with data providers, and ensuring the smooth administration of market data services. The Operations team within IDS is looking for an experienced Vice President to lead a high-performing group of market data professionals in streamlining processes, managing contracts, and collaborating with multiple stakeholders to deliver exceptional operational excellence. As Vice President, you will play a key role in overseeing end-to-end market data operations, from contract administration to invoicing and payment management. You will work closely with vendors, relationship managers, internal teams, and BlackRock s finance function to optimize data operations, drive process improvements, and ensure the firm s market data needs are met efficiently and accurately. The ideal candidate will be a strategic and hands-on leader, passionate about performance, with experience in invoice operations management and process transformation. You should be comfortable interacting with senior internal and external stakeholders and possess strong problem-solving and data management skills. Key Responsibilities: Invoice Validation & Reconciliation: Review and validate invoices against the internal inventory of market data services. Research and resolve discrepancies to ensure accurate and timely invoice processing. Actively follow up with vendors and internal teams to resolve issues and ensure timely resolution. Financial Reporting & Analytics: Prepare reconciliations to explain differences between internal service inventories and vendor invoices. Develop and maintain accurate reports on index and market data usage for providers. Prepare financial analytics and reports for internal stakeholders to aid in decision-making. Process Improvement & Optimization: Identify opportunities for streamlining invoicing and data management processes. Use data insights to drive improvements and optimize operational efficiency. Contribute to the development of quality controls and continuous improvements in operational processes. Vendor & Stakeholder Management: Act as a key point of contact for invoice and payment-related inquiries from vendors and internal teams. Develop and maintain strong relationships with external data providers to ensure smooth contract administration and service delivery. Partner with BlackRock's Finance team to manage market data budget accruals and ensure accurate financial reporting. Team Leadership & Development: Lead and mentor a team of market data professionals, fostering a high-performance culture. Support the team in their growth, development, and delivery of market data solutions. Requirements: Experience: 5-8 years of experience in market data operations, invoice validation, or reconciliation. Proven track record of optimizing operational processes and implementing quality controls. Educational Background: Degree in Business, Commerce, or a related field. Technical & Analytical Skills: Proficiency in Excel and Microsoft Access; advanced skills preferred. Basic knowledge of financial markets and market data services. Strong analytical and problem-solving skills with an ability to translate complex issues into actionable solutions. Communication & Leadership: Excellent oral and written communication skills, with the ability to interact effectively with senior stakeholders. A self-starter attitude with strong organizational skills and the ability to handle multiple priorities while maintaining composure. Proven ability to lead and contribute to team performance in an inclusive and diverse environment. Our Benefits: To ensure you remain energized and inspired, we offer an array of benefits that include: Strong Retirement Plan and comprehensive healthcare options. Tuition Reimbursement to support your ongoing learning. Flexible Time Off (FTO), allowing you to recharge and spend time with loved ones. Support for working parents, including various family-related benefits. Our Hybrid Work Model: At BlackRock, our hybrid work model fosters collaboration and personal development. Employees are required to work in the office at least 4 days a week, with flexibility to work from home 1 day a week. This approach ensures effective team collaboration while offering flexibility in your work-life balance. About BlackRock: At BlackRock, our mission is to help people experience financial well-being by offering innovative investment solutions. We are committed to helping individuals achieve their financial goals from saving for retirement to funding education, buying homes, or starting businesses. Our clients investments play a crucial role in driving global economic growth, supporting businesses, financing infrastructure, and fostering innovation. Join us in making a difference in the world of finance and be part of an industry-leading firm.

Who You Are You have successfully worked with large Service Providers, guiding them through their digital transformation journey by establishing strategic engagements and executive-level relationships. With a strong ability to collaborate across extended teams, you drive large, complex deals while effectively communicating the business value of Cisco solutions. You are skilled at working with customers across multiple levels from technical decision-makers to business leaders and have the gravitas to engage C-suite executives (CxOs), leading meaningful discussions that drive impact. Additionally, you excel in partner management, ensuring both Cisco s success and the success of our partners and customers. Your Impact As an Account Solutions Engineer, you will: Develop and propose tailored network solutions for Service Provider Accounts using Cisco s advanced networking technologies, including MPLS, Segment Routing, Broadband Network Gateway (BNG), Routing & Switching, and Optical Networking. Engage with customers to understand their business needs and align solutions to drive their strategic objectives. Collaborate with cross-functional sales teams to create compelling proposals and articulate the business value of Cisco s offerings. Provide technical expertise and consulting in areas such as MPLS, BNG, SDN, Cloud, and next-generation mobile networks (4G/5G). Stay ahead of industry trends and emerging technologies to proactively offer innovative solutions that enhance client networks. Manage long sales cycles, complex negotiations, and multi-stage deployment projects, ensuring seamless solution implementation. Minimum Qualifications 12+ years of sales experience in the Service Provider industry with deep domain knowledge of telecommunications networks and Cisco solutions. MBA from a top business school or equivalent experience. Strong technical expertise in Service Provider IT networks, including cybersecurity, cloud solutions, data centers, software platforms, mobile networks (4G/5G), and enterprise-level IT systems. Experience managing complex, long-term sales cycles, including demand generation, stakeholder management, forecasting, and strategic negotiations. Strong communication, presentation, and negotiation skills, with the ability to engage executive leadership (CxOs), customers, and partners. Cisco Certified Network Associate (CCNA) and/or Cisco Certified Internetwork Expert (CCIE) certification is preferred. Preferred Qualifications A passion for technology, innovation, and customer success. Strong adaptability and resilience in a constantly evolving industry landscape. Ability to apply financial acumen to qualify and assess business opportunities. Experience working with competitive OEMs in the Service Provider technology domain. At #WeAreCisco, we believe in powering a more inclusive, connected, and digital future for all. Our innovations are shaping industries worldwide from healthcare and education to business and public services by providing secure, cutting-edge networking solutions. Global Impact: Nearly every internet connection worldwide touches Cisco technology. People-First Culture: We foster an environment where employees thrive, develop, and grow their careers. Giving Back: Employees receive 10 days off per year to contribute to social causes they re passionate about. Diversity & Inclusion: Our 30+ Inclusive Communities help build an equitable workplace where everyone belongs. We welcome individuality whether you love colorful hair, tattoos, pop culture, or technology be yourself with us! Join Cisco and be a part of the team that s driving digital transformation for the world s leading service providers. Take the next step in your career. Be you, with us! Qualification : MBA from a top business school or equivalent experience.

Position: Java Engineer - Studio Engineer Job Overview: At BlackRock, technology has always been at the core of what we do. Our technologists continue to shape the future of the industry through innovative solutions. As part of the Aladdin Data team, we focus on evolving our platform to deliver exponential scale, powering the future growth of Aladdin. The Studio Engineers at BlackRock build and design large scale data storage, computation, and distribution systems, working on next-generation technologies. About this Role: We are seeking Java engineers who enjoy innovating and tackling complex problems. You will be part of a multi-disciplinary squad, involved from the inception of projects, working on architecture, development, deployment, and maintenance of studio products and services. Engineers in this role will collaborate with product managers to deliver solutions that improve platform performance and scalability, all while maintaining a collaborative work environment and adhering to industry-leading standards. Responsibilities: Collaborate with program and product managers to expand product offerings based on business demands. Design, develop, deploy, and maintain studio products and services, while iterating on design processes. Drive user engagement and adoption while working towards improving platform performance and scalability. Work closely with various teams to ensure effective deployment and maintenance of the products. Provide production support for applications when necessary and troubleshoot complex performance issues. Create user documentation to maintain development and operations continuity. Contribute to the upkeep of UX and design standards in the studio. Required Qualifications: BA/BS in Computer Science or equivalent practical experience. 10+ years experience delivering medium to large scale enterprise solutions. Experience architecting and building scalable distributed applications. Proficiency in Java, Python, SQL, and Linux. Experience with Event Driven Architecture, Microservices, and Cloud technologies. Familiarity with object-oriented design patterns. Experience with dev ops tools like Git, Maven, Jenkins, Gitlab CI, Azure DevOps. Experience with Agile development methodologies and tools. Ability to troubleshoot and fix performance issues across codebases and database queries. Excellent written and verbal communication skills. Passion for learning and implementing new technologies in a fast-paced environment. Preferred Skills: Experience with Perl and C++. Familiarity with UI/UX stack. Experience supporting large-scale, complex analytics requirements. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model promotes collaboration and flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may have different requirements based on their roles and responsibilities. About BlackRock: At BlackRock, our mission is to help more people experience financial well-being. We are dedicated to investing in our employees and fostering an environment where colleagues feel welcomed, valued, and supported. Our employees contribute to global growth, helping strengthen businesses, finance infrastructure, and facilitate innovation. We offer development opportunities and benefits to help our employees thrive. Qualification : BA/BS in Computer Science or equivalent practical experience

Position: Product Owner - Core Analytics Solutions (CAS) Job Overview: At BlackRock, technology and innovation are central to our mission of delivering world-class financial solutions. As part of Aladdin Financial Engineering (AFE), the Core Analytics Solutions (CAS) team is responsible for delivering analytical capabilities that drive better portfolio decisions. CAS works closely with investment teams and clients, transforming data into actionable insights and delivering solutions across asset classes and client segments. About Aladdin Financial Engineering (AFE): Join over 400 modelers and technologists in AFE within BlackRock Solutions. AFE is responsible for the research, development, and analytics production of Aladdin s financial models. These models span a wide range of financial products and provide insights to portfolio and risk management professionals. About Core Analytics Solutions (CAS): The CAS team within AFE creates and delivers Aladdin s analytical capabilities, ensuring clients can make informed portfolio decisions and achieve their financial goals. Our team is known for problem-solving, innovation, and delivering scalable solutions using Aladdin s global investment platform. Role Description: As a Product Owner with CAS, you will focus on portfolio risk methodologies like VaR and Stress Testing. You will work with modelers and collaborate with product managers, engineers, and data teams to deliver next-generation risk models. This role requires a blend of subject matter expertise, analytical skills, and leadership in driving product initiatives using agile frameworks. Responsibilities: Deliver next-generation risk models for portfolio risk methodologies such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and factor risk models. Drive agile framework implementation to ensure predictability and transparency across initiatives. Work closely with stakeholders to define and articulate product requirements, ensuring alignment with business needs. Perform independent analytical validations and present results to stakeholders. Influence the analytics roadmap by understanding rapidly evolving markets and stakeholder needs. Automate processes to increase efficiency and throughput. Present models to clients, address concerns, and build trust in BlackRock s solutions. Collaborate with technology and analytics teams to build scalable, customized solutions using Aladdin APIs. Define processes for quality control and ensure the robustness and reliability of Aladdin s analytics models. Develop and maintain documentation for analytical models and processes. Mentor junior analysts and help them build expertise in the field. Experience/Qualifications/Skills: 3-6 years of experience in developing, deploying, or using financial risk models. Deep understanding of financial models and risk methodologies, including factor models. Experience with APAC markets is a plus. Proven track record of leading cross-functional initiatives as an agile product owner. Experience in finance, econometrics, statistical analysis, or advanced mathematics. Experience with technical tools like Linux, SQL, and scripting platforms. Programming skills (Python, advanced Excel) are a plus. Knowledge of financial risk management certifications (CFA, FRM) is a plus. Excellent quantitative, analytical, communication, and presentation skills. Ability to collaborate effectively with both technical and non-technical stakeholders. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model fosters collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. We invest in our employees to create a supportive environment where they can thrive professionally and personally. We offer benefits and development opportunities to support our employees' growth. Qualification : Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Advanced degree preferred. Bachelors degree required.

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Position: Aladdin Data Client Experience (BCX) Team Member Overview: BlackRock Aladdin Data is responsible for maintaining data critical to the investment decision-making process for BlackRock and its proprietary Aladdin end-to-end investment platform. The team collaborates closely with Portfolio Management, Global Capital Markets, Relationship Management, Portfolio Compliance, Risk Analytics, Regulatory Reporting, and others to meet their data needs accurately, timely, and efficiently. BlackRock Aladdin Data operates under BlackRock s key principles: Innovation, Fiduciary focus, Passion for Performance, Emotional Ownership, and the unified purpose of One BlackRock. This philosophy is focused on creating value by understanding clients' needs and utilizing technology to develop innovative solutions. Key Responsibilities: Main Point of Contact: Serve as the subject matter expert in risk, returns, and attribution analytics for internal clients. Client Engagement: Conduct regular meetings with internal clients and ensure positive client sentiment. Project Leadership: Lead complex analytical projects, providing regular updates to senior internal and external partners. Optimization Efforts: Collaborate with internal partners to drive GP optimization efforts. Solution Development: Work with Aladdin Data Partners to build and implement solutions for custom processes. Reporting: Run client partner meetings to present Green Package Health, thematic issue analysis, and Aladdin Data service metrics. Knowledge/Experience: Bachelor s degree (or equivalent experience) in Finance, Economics, or a related field. 3+ years of proven experience in financial services with knowledge of markets, technology, operations, or business management. Strong communication skills with the ability to present complex concepts clearly to diverse audiences. Knowledge of financial products in Fixed Income, Equities, and Derivatives; familiarity with risk analytics such as Durations, Spreads, Beta, and VaR is a plus. Demonstrated project management and leadership skills in delivering large, complex projects. Proficiency in SQL, Linux, Unix. Strong interpersonal and time management skills with the ability to thrive in a fast-paced environment. High attention to detail. Our Benefits: We offer a range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) to help you relax, recharge, and take care of your loved ones. Our Hybrid Work Model: BlackRock s hybrid work model enables collaboration while supporting flexibility. Employees are required to work at least 4 days in the office per week, with 1 day working remotely. Some business groups may require more in-office presence due to role responsibilities. This hybrid model is designed to accelerate your learning and onboarding experience. About BlackRock: At BlackRock, we help people experience financial well-being by supporting their retirement, education, home purchases, and business ventures. The investments made by our clients strengthen the global economy, supporting businesses, infrastructure projects, and innovations. This mission is made possible by our investment in employees. We create an environment where colleagues feel welcomed, valued, and supported with networks, benefits, and development opportunities. Qualification : Bachelors degree or equivalent experience in Finance, Economics or related field is desired.

We are looking for a highly capable Node.js developer to optimize our web-based application performance. You will be collaborating with our front-end application developers for designing back-end components and integrating data storage and protection solutions. Role And Responsibilities: Developing and maintaining all server-side network components Ensuring optimal performance of the central database and responsiveness to front-end requests Collaborating with front-end developers on the integration of elements Designing customer-facing UI and back-end services for various business processes Developing high-performance applications by writing testable, reusable, and efficient code Implementing effective security protocols, data protection measures, and storage solutions Running diagnostic tests, repairing defects, and providing technical support Documenting Node.js processes, including database schemas, as well as preparing reports Recommending and implementing improvements to processes and technologies Keeping informed of advancements in the field of Node.js development Required Skills and Capabilities: Bachelor's degree in computer science, information science, or similar At least two years of experience as a Node.js developer Extensive knowledge of JavaScript, web stacks, libraries, and frameworks Knowledge of front-end technologies such as HTML5 and CSS3 Above grade interpersonal, communication, and collaboration skills Exceptional analytical and problem-solving aptitude Great organizational and time management skills Availability to resolve urgent web application issues outside of business hours Qualification : Bachelor's degree in computer science, information science, or similar

We are looking for an experienced Backend Engineer with excellent development skills in Python and Django framework. Role And Responsibilities: Write effective, scalable code Develop cloud-based Python Django software products Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Participating in architectural, design, and product discussions Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical Required Skills and Capabilities: Bachelor s degree in computer programming, computer science, or a related field Expert in Python with knowledge of Django Web Framework Familiarity with some ORM (Object Relational Mapper) libraries Working knowledge of MongoDB and MySQL Fair understanding of building RESTful APIs Worked with Django application deployment on AWS, Heroku, GCP, Docker platforms Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Understanding of accessibility and security compliance Knowledge of user authentication and authorization between multiple systems, servers, and environments Familiarity with event-driven programming in Python Able to create database schemas that represent and support business processes Strong unit test and debugging skills Proficient understanding of GitHub, JIRA, GSuite Critical thinker and problem-solving skills Great interpersonal and communication skills Qualification : Bachelors degree in computer programming, computer science, or a related field

We are looking for a Ruby on Rails Developer to join our engineering team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. Role And Responsibilities: Designing and developing new web applications Maintaining and troubleshooting existing web applications Writing and maintaining reliable Ruby code Integrating data storage solutions Creating back-end components Identifying and fixing bottlenecks and bugs Integrating user-facing elements designed by the front-end team Connecting applications with additional web servers Maintaining APIs Required Skills and Capabilities: Bachelor s degree in computer science, computer engineering, or related field Experience working with ruby on rails as well as libraries like Resque and RSpec Ability to write clean ruby code Proficiency with code versioning tools including Git, Github, SVN, and Mercurial Experience with AngularJS or BackboneJS Familiarity with MVC, Mocking, RESTful, and ORM Good understanding of front-end technologies including HTML5, JavaScript, and CSS3 Knowledge of server-side templating languages including Slim and Liquid Familiarity with testing tools Qualification : Bachelors degree in computer science, computer engineering, or related field

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