CI CD FOR Data Jobs in Gurgaon

Product Analyst - Team Lead (Risk) Location: Gurugram, Haryana (On-site) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, transforming commerce for millions of small businesses. Our mission is to empower half a billion Indians by bringing them into the mainstream economy using innovative technology. About the Team The Credit Risk Product Team plays a critical role in lending by developing efficient, scalable, and compliant risk assessment models. The team partners with data scientists, engineers, and business stakeholders to refine underwriting processes through advanced analytics and machine learning optimizing loan performance and minimizing defaults. Role Overview We are looking for a detail-oriented Product Analyst to lead credit risk initiatives. In this role, you will implement and optimize credit risk policies while ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance underwriting models and risk decision frameworks. Key Responsibilities Analyze credit risk across multiple credit products, such as credit cards, merchant loans, and personal loans. Collaborate with business teams to understand and implement credit risk policies on the platform. Monitor and evaluate the performance of risk policies; provide actionable feedback to Product and Policy teams. Leverage alternative data sources, machine learning models, and traditional credit assessments to improve risk evaluation. Conduct testing, scenario analysis, and policy resilience measurement. Track key risk indicators (KRIs) and generate insights for management. Ensure compliance with regulatory guidelines and internal risk frameworks. Work with product and technology teams to embed risk-based decision-making into lending workflows. Qualifications 1 2 years of relevant experience, preferably in fintech or banking. Strong proficiency in SQL and Python for data analysis and manipulation. Basic understanding of APIs and streaming platforms like Kafka is a plus. Excellent analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment and collaborate cross-functionally. Educational background: B.Tech from reputed institutes like NIT, BITS, or equivalent. Be part of India s largest fintech lending ecosystem with 500+ million users and 21+ million merchants. Work in a fun, energetic environment designed to help you reach your full career potential. Unique opportunity to shape India s largest digital lending story and drive financial inclusion.

Lead DevOps Engineer Location: Gurugram, India Type: Full-Time Experience: 2+ Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software platform for financial advisors. We help top financial advisors manage and grow their clients investments through powerful digital solutions that process lakhs of transactions daily. If you want to be part of a team transforming how millions of Indians invest, this is your opportunity. Role Overview We are looking for a proactive and skilled Lead DevOps Engineer to own and improve our cloud infrastructure, CI/CD pipelines, monitoring systems, and overall deployment processes. You ll be a key player in automating workflows, ensuring production stability, and enabling our engineering team to deliver faster and more reliably. Key Responsibilities CI/CD Ownership: Manage and optimize CI tools (e.g., GitLab) and CD pipelines using Jenkins. Monitoring & Observability: Set up and maintain monitoring tools (e.g., Prometheus, Grafana, Datadog, Sentry, Elasticsearch) for logs, metrics, and traces. Automation: Write Bash/Shell scripts for deployment automation, analytics tasks, and alerting systems. System & Security: Secure environments with firewalls, VPNs, and tools like Cloudflare. Monitor system performance and address bottlenecks. Cloud & Infrastructure: Manage on-premise and cloud environments (AWS, Azure). Spin up and scale infrastructure using ELB and autoscaling. Incident Management: Conduct root cause analysis for system outages or performance issues. Database Operations: Manage permissions, performance, backups, and patching across MySQL, MSSQL, PostgreSQL, etc. Release Coordination: Work closely with developers and QA to ensure secure, smooth, and error-free deployments. Process Optimization: Define and implement efficient development, testing, release, and support workflows across environments. Required Skills & Experience 2+ years of hands-on experience in a DevOps or Systems Engineering role. Proficiency with AWS and Azure, including EC2, Load Balancers, and server orchestration. Experience with GitLab, Jenkins, and CI/CD pipeline creation. Strong knowledge of Bash scripting and automation. Experience with server migration (on-premise to cloud preferred). Proficient in configuring observability tools like Prometheus, Grafana, Datadog, Sentry, Elasticsearch. Understanding of security best practices and tools like Cloudflare. Solid database administration skills (MySQL, PostgreSQL, MSSQL). Proven track record of diagnosing and resolving production issues effectively. Nice to Have Exposure to containerization (e.g., Docker, Kubernetes). Familiarity with Infrastructure-as-Code (Terraform, Ansible). Experience working in Fintech or regulated environments. Perks & Benefits 5-day work week with flexible hours. Group medical insurance coverage up to 3 Lakhs. Free consultations with certified financial planners for your personal financial goals. Guidance and tools to help you begin your investment journey. Fun, collaborative culture with regular office activities. At Investwell, you ll be a part of the infrastructure backbone that empowers India s leading financial advisors. You'll work on real-time systems, drive mission-critical automation, and be empowered to make meaningful decisions every day. Join us to shape the future of fintech infrastructure in India.

Job Title: Product Designer II UI/UX Location: Gurugram, Haryana (Onsite, 5 days/week) Working Hours: 12 PM 9 PM IST Experience: 2 4 Years | Department: Product & Design Employment Type: Full-Time About Spyne At Spyne, we are transforming how cars are marketed and sold using the power of Generative AI. What began as a bold idea to automate automotive visuals has evolved into a full-stack AI-first automotive retail ecosystem. Backed by $16M in Series A funding from top investors like Vertex Ventures and Accel, we re rapidly expanding across US and EU markets with our industry-first AI products, including Studio AI and Retail AI. Over the past 15 months, we ve experienced 5X revenue growth, with ambitious plans to scale 3 4X more this year. Now, we re leading the next wave of GenAI innovation, building AI-powered tools for sourcing, pricing, 360 imaging, CRM, and Agentic AI for dealerships. About the Role: Product Designer (UI/UX) We re looking for a talented and passionate Product Designer II to join our dynamic Product & Design team. This role is perfect for someone who wants to blend design thinking with cutting-edge AI, AR, and VR technologies to create impactful, user-first experiences for our global automotive partners. You ll play a pivotal role in shaping intuitive digital products, owning the design process end-to-end, and influencing the future of automotive retail. What You ll Do Lead UI/UX Design: Design end-to-end user experiences with intuitive, accessible, and visually compelling interfaces. Build for Emerging Tech: Design for AI, AR, and VR integrations in products that push boundaries and redefine user engagement. Create & Iterate: Develop wireframes, user flows, high-fidelity prototypes, and final visual assets using tools like Figma. Collaborate Cross-Functionally: Work closely with Product Managers, Engineers, and Data Analysts to translate ideas into functional, user-centric solutions. Align Design with Business Goals: Ensure design strategy meets key product and user outcomes. Leverage Data for Design Decisions: Analyze user behavior, feedback, and market trends to iterate effectively. Contribute to Design Systems: Build, scale, and maintain reusable components and design guidelines. Stay Ahead of Trends: Continuously explore emerging tools, patterns, and technologies in design and AI. What You ll Bring Experience & Education Bachelor s degree in Design, Human-Computer Interaction, or a related field 2 4 years of hands-on UI/UX design experience, preferably in a B2B SaaS environment Technical Skills Proficiency in tools like Figma, Sketch, and Adobe Creative Suite Experience designing for AI or automation-driven products is a strong plus Knowledge of AR/VR design principles and ability to create user flows for immersive experiences Familiarity with component-based UI systems and responsive design Soft Skills Strong problem-solving and analytical mindset Excellent communication and collaboration skills across technical and non-technical teams Detail-oriented with a user-first approach to design Comfortable working in fast-paced, iterative, and agile teams At Spyne, we go beyond just offering a job we offer a chance to create real impact in a high-growth AI startup. What You ll Love: Performance-Driven Growth: High-impact role with rapid career progression Health & Life Insurance: Comprehensive GMC, GPA, and GTLI coverage Learning & Development: Access to LinkedIn Learning, mentorship, and AI-driven projects Office-First Culture: Collaborate, learn, and build alongside a high-energy team Diverse & Inclusive Environment: One of the best male-female ratios in AI tech Be Part of the Future of Automotive AI If you re passionate about designing next-gen digital experiences and want to be part of a fast-moving, innovation-driven team, we d love to hear from you. Apply now and help shape the visual future of automotive retail. Qualification : Bachelors degree in Design, Human-Computer Interaction, or a related field

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.

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.

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.

Job Description: Quality Assurance Analyst (QA) The Quality Assurance Analyst (QA) is responsible for assessing the quality of the performance of our call center associates who deal with our existing and potential customers. The QA will monitor inbound and outbound calls or email responses to assess associates communication, technical accuracy, customer service performance, and conformity to company policies and procedures. Roles and Responsibilities: Auditing of calls and complete analysis of service requests. Sharing One-on-One Feedback with agents based on audits. Works with the Operations team to develop the overall process improvement strategy and quality plan. Monitoring if the Customer Care Executive (CCE) has used the right telephone etiquette, followed appropriate hold procedures, and provided a proper resolution for the customer s request. Highlighting issues as per the quality parameters. Sharing daily reports and Quality Scores with the team. Participating in internal & external calibration sessions with Quality/Operations. Extensive experience working as a Quality Analyst in the BPO/KPO Sector. Experience: Total Experience: 1+ Years Working Days: 6 Days Working Education: Any Graduate Skills: Excellent verbal, written, and interpersonal communication skills. Exceptional listening and analytical skills. Proficiency with Microsoft Office (intermediate Word, basic Excel). Outstanding customer service skills and dedication to providing exceptional customer care. Ability to multitask and successfully operate in a fast-paced, team environment.

Job Title: Software QA R&D Engineer (EDA Software Testing & Quality Assurance) Overview: Keysight Technologies is at the forefront of technological innovation, delivering breakthroughs and trusted insights across electronic design, simulation, prototyping, testing, manufacturing, and optimization. With approximately 15,000 employees globally, we provide world-class solutions across communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets, serving customers in over 100 countries. Learn more about what we do at Keysight. Our award-winning culture drives our vision of where technology can take us, fueling a passion for solving challenging problems with industry-first solutions. Diversity, equity, and inclusion are core to our culture and innovation at Keysight. We believe that when people feel a sense of belonging, they thrive and contribute to creating innovative solutions. We are seeking a Software QA R&D Engineer to join our Keysight R&D Centre in Gurgaon/Bangalore, India. This role is focused on testing and quality assurance of Keysight's EDA software. The Software QA Engineer will play a critical role in ensuring the quality and reliability of Keysight s RF/Microwave, HSD, and Power Electronics solutions through Agile Software Development and comprehensive testing methodologies. Key Responsibilities: Test Plan Development: Develop, execute, and maintain test plans for functionalities in EDA tools. Software Testing & Verification: Validate and test design flows, ensuring seamless integration with other EDA tools. Automation: Design and implement automated test cases using scripting languages like Python or Perl for physical verification workflows, including CI/CD pipelines. Bug Tracking & Documentation: Track and document issues using Jira, collaborating with developers for timely issue resolution. Contribute to project documentation using Confluence for collaboration and knowledge sharing. Version Control: Manage testing frameworks and integrate them with Git for source control, ensuring robust testing processes and traceability for changes. CI/CD & Build Automation: Utilize tools like Jenkins for continuous integration, automating build and test processes to validate frequent tool updates efficiently. Defect Identification & Debugging: Identify, document, and track defects, performing detailed debugging and working with development teams to resolve issues. Customer Support: Reproduce and resolve customer-reported issues related to EDA tools, ensuring enhancements to product quality. Cross-functional Collaboration: Collaborate with foundry partners to validate rule decks and stay updated with new physical verification methodologies, supporting evolving design processes. Qualifications: Education: Bachelor s or Master s degree in Electronics and Telecommunication (ECE), or an equivalent field. Experience: 8+ years in EDA software QA validation, with extensive knowledge in RF Microwave and Physical Verification. Experience creating end-to-end designs within the EDA domain. Tool Expertise: Experience with tools such as Assura, PVS, Calibre (e.g., Cadence, Siemens Mentor, Synopsys, Ansys) in IC/Board/Module design flows. Proficient in Design Rules: Experience developing DRC/LVS/ERC rules for IC/Module/PCB applications using tools like Cadence, Mentor, Synopsys, Ansys. Physical Verification QA Experience: Experience with Physical Verification QA is highly desired. PDK Quality Assurance engineers with Physical Verification experience are encouraged to apply. Scripting & Automation: Strong experience in scripting languages such as Python for automating testing workflows. Proficiency in automated testing tools like Google test and pytest is preferred. Software Build & Test: Experience working with Jenkins for builds and tests on Windows and Linux operating systems. Familiarity with CMake and source code management systems like Git. CI/CD Pipeline: Familiarity with CI/CD pipelines for build automation and testing. Issue Tracking & Collaboration Tools: Strong knowledge of Jira for issue tracking and Confluence for project collaboration. Attention to Detail: Excellent analytical, problem-solving, and debugging skills, with a keen eye for detail. Fast-paced Environment: Ability to work effectively under pressure with tight deadlines. Collaboration: Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Proactive Learner: A proactive attitude towards continuous learning and self-improvement, driven by a passion for software quality and customer satisfaction. Qualification : Bachelors or Masters degree in Electronics and Telecommunication (ECE), or an equivalent field.

Accounting Associate Company Description: Louis Dreyfus Company is a leading merchant and processor of agricultural goods, spanning the entire value chain from farm to fork. We leverage our global reach and extensive asset network to serve customers and consumers worldwide. Structured as a matrix organization, we operate across six geographical regions and ten platforms in over 100 countries, employing approximately 18,000 people globally. Job Description: We are looking for a detail-oriented and proactive Accounting Associate to join our team. In this role, you will perform various finance and accounting functions, ensuring accurate bookkeeping, month-end accruals, AR aging, analysis of open balances, daily payments, tax compliance, and adherence to internal policies and procedures. You will report directly to the Manager and contribute to the efficient and timely completion of financial reporting and compliance. Key Responsibilities: Perform the checking and posting of accounting vouchers, including month-end accruals, provisions, fixed asset reporting, payroll accounting, and indirect expense booking. Timely reconciliation of general ledger (GL) accounts and ensure accurate accounting records. Support the month-end closing process and ensure all financial records are up-to-date. Resolve day-to-day accounting queries and provide proactive solutions. Ensure real-time transaction recording in AX (Accounting System). Reconcile intercompany transactions and ensure proper recording of transactions (expenses, sales, purchases, and payments) in the correct GL, cost center, and expense type. Settle open transactions in ledger accounts and ensure all vendor invoices are accounted for and paid within due dates. Handle queries related to the books of accounts from counterparts and ensure compliance with company policies. Assist in providing data for annual budgeting, reforecasting, and supporting internal and statutory audits. Ensure compliance with statutory requirements, such as timely data submission and payment processing, and reconcile them with the books of accounts. Prepare monthly expense bookings, compare with previous periods, and ensure accurate monthly provisioning of expenses. Submit timely reports to the Manager and assist with various financial data preparations and audits. Maintain strong knowledge of IGAAP/IFRS standards. Build effective relationships within the team and with cross-functional teams. Qualifications: CA Inter, CA, MBA (Finance), or M.Com. Minimum 1-2 years of relevant experience in accounting or finance. Proficiency in Microsoft Office tools. Knowledge of SAP software is an advantage. Strong communication and interpersonal skills. Additional Information: Diversity & Inclusion: Louis Dreyfus Company is committed to embracing diversity, equity, and inclusion. We foster a workplace that values diverse perspectives and provides equal opportunities for all employees. Sustainability: Sustainability is at the core of our values. We strive to create fair and sustainable value for our business, stakeholders, and the communities we impact. What We Offer: A dynamic, international work environment that will challenge and develop your skills. Career development opportunities in one of the largest private companies globally. A workplace culture that embraces diversity and inclusivity. Employee recognition programs and wellness initiatives, including confidential access to certified counselors for employees and their families. Certified Great Place to Work. Qualification : CA Inter, CA, MBA (Finance), or M.Com.

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.

HVAC Design Engineer About Jacobs At Jacobs, we challenge today to reinvent tomorrow. We tackle the world s most critical challenges by shaping thriving cities, resilient environments, operational advancements, scientific discoveries, and cutting-edge manufacturing. Our mission is to transform ideas into reality, making the world smarter, more connected, and more sustainable. As the largest professional services provider to the pharmaceutical and biotechnology industries, we specialize in clean manufacturing, specialized facilities, research and development laboratories, and data centers. Our expertise enables us to deliver solutions that help our clients produce life-changing products. Your Impact The world needs innovators and problem solvers who transform challenges into opportunities. At Jacobs, we push the boundaries of what s possible fostering innovation, collaboration, and sustainable solutions. In this role, you will support HVAC design and Revit modeling for Data Center, Industrial, Pharmaceutical, and FMCG projects. You will contribute your expertise in HVAC systems design, ducting, piping, and controls to ensure high-quality project execution. Key Responsibilities Perform detailed heat load calculations to ensure optimal HVAC system performance. Assist in HVAC equipment selection based on project requirements. Design and model ducting, piping, and HVAC controls using Revit. Develop detailed HVAC layouts, schematics, and technical drawings. Collaborate with engineers, architects, and other disciplines to ensure seamless integration. Ensure compliance with industry standards, safety guidelines, and project specifications. Qualifications & Experience Diploma/ITI in Mechanical or related discipline. 5 12 years of experience in HVAC Revit modeling. Experience in Data Centers, Industrial, Pharma, or FMCG projects (preferred). Strong expertise in HVAC system design, ductwork, piping, and controls. Proficiency in Revit MEP for 3D modeling and drafting. Ability to work independently and collaboratively in a multidisciplinary team environment. At Jacobs, we believe in fostering an inclusive and supportive work culture. We offer: Flexible Work Arrangements A balance between professional and personal commitments. Global Collaboration Work alongside industry experts across the world. Career Growth & Learning Opportunities Training programs and career development initiatives. Diverse & Inclusive Environment A workplace where everyone is empowered to succeed. Making an Impact Contribute to projects that make a real difference in the world. Join Jacobs and be part of a company where your expertise helps build a better future. Qualification : Diploma/ITI in Mechanical or related discipline.

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: 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

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering 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 : Bachelors or Masters degree in Computer Science, Data Engineering, or a 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

Job Summary: We are seeking a Sales Data Analyst to support our sales team by performing repetitive reporting tasks, system administration, and data analysis to improve business insights. The ideal candidate will be proficient in data collection and analysis from internal and external sources, ensuring accurate and timely reporting to assist in sales forecasts and decision-making. This role requires someone with a strong focus on process efficiency and the ability to adapt to evolving business needs. Key Responsibilities: 1. Reporting: Consolidate and distribute sales reports under limited supervision. Gather data from various sources using existing templates and provide input for forecasting. Conduct regular data analysis to ensure accurate and complete sales reports. 2. System Administration: Run repetitive and ad-hoc tasks on sales systems and tools (e.g., Salesforce, WWSPS, BMS, Portal). Periodically review user-entered data to ensure its completeness. 3. Data Analysis (Internal & External): Conduct ad-hoc and recurring analyses of external data sources (e.g., Polk, Dodge, RigDig). Research and compile competitive data and opportunities through secondary research. Perform internal sales analyses such as variance, projections, costing, and bundling. Competencies & Skills: Action Oriented: Take on new opportunities and challenges with urgency, energy, and enthusiasm. Adapt quickly to changing needs and work with high efficiency. Collaboration: Build partnerships and collaborate with others to achieve shared goals. Effective Communication: Communicate complex data and insights clearly to diverse audiences, ensuring they understand and act upon the information. Self-Development: Actively pursue opportunities for personal and professional growth. Data Analytics: Interpret both qualitative and quantitative data to draw meaningful insights. Use frameworks and methodologies to present data findings that influence business decisions. Project Schedule Management: Manage schedules using appropriate tools to ensure timely completion of tasks and projects. Adapts to Target Audience: Explain technical data in a simplified manner that can be understood by non-technical audiences. Customer Perspective Integration: Incorporate an understanding of customer needs to develop sales strategies that drive revenue and customer satisfaction. Values Differences: Embrace diverse perspectives and foster an inclusive environment. Qualifications: Education: High school diploma or equivalent is required. A relevant certification or further education in data analysis or sales is preferred. Experience: Some work experience in a data analysis or sales support role is required. Intermediate-level knowledge of sales systems and tools through training or on-the-job experience. Skills: Primary and Secondary Sales Mechanics Connect Fleet Approach Reborer Connect Additional Requirements: This position may require licensing for compliance with export controls or sanctions regulations. Benefits: Competitive salary and benefits package. Opportunities for skill development and career growth. Supportive, collaborative work environment. This role is an exciting opportunity for someone with a keen eye for data and a passion for supporting sales teams with actionable insights. If you're looking to contribute to a dynamic team, apply today! Qualification : High school diploma or equivalent is required.