Role Summary As a Senior Lead Engineer, you will play a key role in driving the technical strategy, development, and upkeep of Staples core applications and system integrations. You’ll be responsible for crafting and enhancing software components - including programs, scripts, and data models - based on detailed design specifications that emphasize performance, reliability, and scalability. This role requires deep expertise in system integration, testing, and technical documentation, with a strong focus on designing intuitive, customer-facing front-end applications throughout the Software Development Life Cycle (SDLC). You’ll write clean, efficient code, build tools and applications, and contribute to initiatives that impact your team’s deliverables. You’ll bring a thorough understanding of the organization’s software ecosystem, with advanced proficiency in .NET technologies and key programming languages such as C#, SQL, and JavaScript. Familiarity and experience with HTML, XML, and modern web design principles is essential. You’ll collaborate with internal and external stakeholders - including UX, content, eCommerce, and strategy teams - to exchange and interpret complex technical information. Assignments typically span short to mid-term durations and require independent decision-making, though work is reviewed at defined checkpoints. You’ll mentor junior engineers and operate within established development frameworks and standards. Additionally, you’ll lead architectural planning and coordinate across distributed teams (onshore and offshore). Success in this role requires hands-on experience with eCommerce platforms, Azure Cloud services, AKS (Azure Kubernetes Service), and a solid grasp of data compliance and reporting requirements paired with strong leadership and communication skills. Duties & Responsibilities: Create or modify complex programs, modules, routines, scripts, and data objects where performance, efficiency, and reliability are critical to the entire system. Assist in the development, testing, and maintenance of software functionality and perform coding, debugging, testing, and troubleshooting throughout the application development process. Engage in the full software development lifecycle, including requirement analysis, documentation of technical specifications, design, testing, deployment, and review of code. Analyze, test, monitor, and improve the performance, scalability, and functionality of software solutions. Mentor junior software engineers, providing guidance and support, and lead by example in code quality and best practices. Work with Architects, business partners, and Product teams to ensure systems are implemented as designed and translate business requirements into technical solutions. Identify, isolate, and resolve malfunctions related to software, and proactively anticipate and prevent problems before they occur. Stay informed of emerging trends or technologies and contribute to the evolution and documentation of application systems. Address all production-related issues promptly and with urgency. What you Bring to the Table: Design, develop and implement business and technical features on the Quill.com website as well as other applications that support Quill.com. Work with Architects to ensure the system is implemented as designed and in adherence with development guidelines and security standards. Partner with business, Product teams and other domain architects to translate business requirements and vision into core eCommerce functions. Provide domain expertise by recommending guidelines, methodologies, and tools through extensive interaction with other groups such as vendors, industry forums, enterprise SOA and architecture teams etc. Create and evolve application documentation as required Ensure that technical solutions follow best practices, are reliable and are easily maintainable Years of Experience: Minimum of 9 years of experience in an eCommerce and engineering lead role. Minimum of 6 years of experience working with high-traffic, large-scale distributed systems and cloud platforms. Requirements Basic Qualifications: Bachelor’s degree in computer science, Information Systems, or related field. Proficient in multiple programming languages and frameworks relevant to the role. Experience with the full software development lifecycle, including design, testing, deployment, and documentation activities. 9+ years of experience designing and implementing eCommerce applications using service-oriented architectures , with at least 3+ years in a lead/mentoring role . 9+ years of full software development lifecycle experience, including independent analysis, coding, testing, and deployment. 9+ years of experience in .NET technologies and key programming languages such as C#, SQL, and JavaScript. Familiarity and experience with HTML, XML, and modern web design principles is essential. 6+ years of experience working with web services and APIs (SOAP/HTTP, REST). 6+ years of combined experience developing applications with relational and non-relational database technologies. Excellent analytical abilities and a strong intellectual curiosity
Role Summary: We are seeking a highly skilled and strategic Lead Power BI Engineer with over six years of experience in business intelligence and data analytics. This role demands advanced proficiency in Power BI, SQL, and Excel , including the ability to build dynamic visualizations from OLAP cubes within Excel. The ideal candidate will lead the development of scalable BI solutions, mentor junior team members, and collaborate with stakeholders to deliver actionable insights through Power BI and Excel-based reporting. This is a leadership opportunity to shape our data strategy and drive smarter decision-making across the organization. Duties and Responsibilities: Lead the design, development, and deployment of Power BI dashboards and reports Expertise in SQL based data models and queries Create advanced Excel reports and visualizations using pivot tables, Power Pivot, and cube functions Build and maintain OLAP cube connections for Excel-based analysis Collaborate with business stakeholders to gather requirements and translate them into technical solutions Ensure data accuracy, consistency, and performance across reporting systems Establish best practices for Power BI and Excel reporting, governance, and version control Mentor and guide junior BI engineers and analysts Stay current with BI trends and recommend tools and techniques to enhance reporting capabilities What you Bring to the Table: Design, develop and implement business and technical features. Work with Architects to ensure the system is implemented as designed and in adherence with development guidelines and security standards. Partner with business, Product teams and other domain architects to translate business requirements and vision into core eCommerce functions. Create and evolve application documentation as required. Ensure that technical solutions follow best practices, are reliable and are easily maintainable Years of Experience: Minimum of 6 years of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects Requirements Basic Qualification: Bachelors or Master’s degree in Computer Science, Information Systems, or related field 6+ years of experience in business intelligence, data engineering, or analytics Expert-level proficiency in Power BI (DAX, Power Query, data modeling, visualization) Advanced SQL skills for data extraction, transformation, and performance tuning Advanced Excel skills including pivot tables, Power Pivot, cube formulas, and OLAP integration Experience working with large datasets and complex data environments Excellent communication and stakeholder management skills Ability to lead projects and deliver results in a fast-paced environment Proficient understanding of code versioning tools, such as Git / SVN Preferred Qualification: Experience with cloud data platforms (Azure, AWS, GCP) Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift) Knowledge of Python or R for data analysis Certification in Power BI, Excel, or related technologies
Role Summary We are seeking a highly experienced and detail-oriented Lead Adobe Analyst Engineer with deep expertise in Adobe Analytics to lead our digital analytics initiatives. The ideal candidate will have 6+ years of hands-on experience in Adobe Analytics tools, a strong understanding of building Adobe reports, segmenting, extracting insights, and a proven ability to ensure data accuracy and integrity in reporting. This role also requires proficiency in BI/Analytics tools to support cross-platform data integration and insight generation. Duties and Responsibilities: Lead the reporting on Adobe Analytics across digital platforms. Create dashboards/reports to identify patterns, provide insights, support business goals Validate and troubleshoot analytics data to maintain reporting accuracy and consistency Collaborate with stakeholders to define tracking requirements and KPIs Stay current with Adobe product updates and digital analytics best practices Provide technical leadership and mentorship to junior analytics engineers. Why you Bring to the Table: Expertise in Adobe Analytics : You have deep hands-on experience with Analysis Analytics, Segments, Calculated Metrics, and KPI tracking, and can build advanced reporting. Statistical Knowledge: Understand hypothesis testing, regression analysis, confidence intervals, and time series modeling. Ability to interpret complex datasets, identify patterns, and derive actionable insights. Data Accuracy Champion : You have a sharp eye for detail and a methodical approach to validating and troubleshooting analytics data to ensure reporting integrity. BI/Analytics Savvy : You bring a working knowledge of BI tools like Power BI, Tableau to complement Adobe data and drive holistic insights. Strategic Thinking : You can translate business goals into technical tracking plans and analytics strategies that deliver measurable impact. Years of Experience: Minimum of 6 years of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects Requirements Basic Qualifications: Bachelors or Masters degree in Computer Science, Information Systems, or related field 6+ years of experience in digital analytics, with a focus on Adobe Analytics Expert-level proficiency in Adobe Analytics, including Workspace, Report Builder, and Analysis Workspace Proven ability to ensure data accuracy and troubleshoot tracking issues Solid experience with Omniture and its integration with Adobe Analytics Familiarity with BI/Analytics tools (e.g., Tableau, Power BI, Google Analytics) Excellent communication and stakeholder engagement skills Preferred Qualifications: Adobe Analytics certification Experience with JavaScript and web technologies for custom tagging solutions Exposure to cloud data platforms (e.g., AWS, Azure) Knowledge of customer journey analytics and attribution modeling
Role Summary The Lead Data Engineer will strategically work in the data science team in applying advanced analytics, machine learning, LLMs and cutting-edge technologies to propose, perform and evaluate exploratory data analysis and predictive modelling to address critical ecommerce challenges. A creative and flexible approach to problem-finding should be combined with a strategical approach to maintaining the highest standards of data-driven decision-making with faithful application of development best practices. Duties & Responsibilities : Develop and deploy sophisticated machine learning and deep learning models to solve critical business challenges such as predict customer patterns, recommendation systems, demand forecasting, and predictive analytics. Leverage advanced techniques to extract insights, automate customer interactions, and enhance user experience across e-commerce platforms. Conduct thorough testing and validation of models, employing techniques such as cross-validation, A/B testing, and performance benchmarking to ensure models deliver accurate, reliable, and consistent results. Implement dynamic pricing strategies powered by reinforcement learning, Bayesian optimization, and price elasticity modeling, integrating real-time market intelligence and competitive data to optimize profitability and market share. Work closely with cross-functional teams to identify impactful business problems, and operationalize models using scalable deployment frameworks Stay informed of emerging trends and advancements in data science, machine learning operations, and AI ethics, continuously integrating new tools and techniques into the team's workflow. Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors. Experience leading end-to-end data science project implementations working with Agile methodologies. What you Bring to the Table: Design, develop and implement business and technical features. Work with Architects to ensure the system is implemented as designed and in adherence with development guidelines and security standards. Partner with business, Product teams and other domain architects to translate business requirements and vision into core eCommerce functions. Create and evolve application documentation as required. Ensure that technical solutions follow best practices, are reliable and are easily maintainable Years of Experience : Minimum of 6 years of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects Requirements Basic Qualifications: Bachelors degree in in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field. Alternately equivalent experience in data analysis and predictive modeling will be considered in lieu of relevant degree. 6+ years of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects. Hands on experience with deep learning frameworks, LLMs, GenAI tools, and applying NLP techniques. Expertise using tools like TensorFlow, PyTorch, LightGBM, XGBoost as well as general purpose programming languages such as GPT-4, BERT is preferred. Strong understanding of data and coding skills with SQL and Python. Excellent analytical abilities and a strong intellectual curiosity Experience with cloud platforms (e.g., Azure, AWS, GCP) Proficient understanding of code versioning tools, such as Git / SVN Preferred Qualifications: Masters degree in computer science, Engineering, or a related field. Experience working in retail domains and developing e-commerce solutions. Familiarity with Agile methodologies and ability to thrive in fast-paced, collaborative environments.
The DBA is responsible for the management of multiple database systems. They will provide support for Oracle databases on Red Hat Linux VMs on Azure, as well as SQL Server databases on Azure VMs and Azure SQL Managed Instances. This includes appropriate backup procedures for both minor data losses as well as for complete disaster recovery, developer and user support, database tuning, security, and general maintenance of the systems. In addition, the DBA will provide their guidance for projects requiring database changes to ensure that the highest standards are used in administering the database system. Duties & Responsibilities: Provide DBA support for SQL server on Azure VMs and Azure SQL Managed Instances Provide Oracle DBA support including patching databases and partitioning tables. Manage SQL server databases on Azure VMs and Azure SQL Managed Instances Backup and restore SQL databases on Azure VMs and Managed Instances. Monitor SQL Agent jobs and respond to critical job notifications. Troubleshoot and resolve the issues and if needed escalate issues and facilitate problem resolution. Troubleshoot SSIS package failures and facilitate problem resolution. Automates common database management tasks. Creating documentation, maintenance plans, assigning and monitoring threshold values What you Bring to the Table: Create and evolve application documentation as required Ensure that technical solutions follow best practices, are reliable and are easily maintainable. Requirements Basic Qualifications: Bachelors degree in computer science, Information Systems, or related field. 3+ years Oracle DBA experience Hands-On Experience managing SQL database on Azure Experience with backup strategies, and DR solutions for Oracle databases Experience with table partitioning and reorg in Oracle Experience with SQL transactional replication Experience in monitoring and tuning MS SQL Server databases for optimum performance Knowledge of indexes, analyzing query plans for performance tuning Knowledge of SQL Server Integration Service (SSIS) Knowledge of Linux shell scripting Knowledge of Oracle Enterprise Manager preferred Experience with ADF will be a plus Proficient understanding of code versioning tools, such as Git / SVN Preferred Qualifications: Familiarity with data warehousing concepts and tools (e.g., Snowflake).
Basic Qualifications: 5+ years of related work experience. Strong hands-on programming experience in at least one modern language (Java, Python) and Big Data frameworks (Spark or Kafka) Designing and developing highly reliable, fault-tolerant distributed applications with a heavy emphasis on performance and scale in the Cloud. Demonstrated understanding of fast-paced Agile principles with technical designs, iterative development, and code reviews. Well-versed with building high quality software using the industry proven practices 12 factor app, reactive manifesto, and CI/CD. Building microservices using Spring/Spring-boot framework including Spring JPA, Spring Batch, Spring Security, Spring Cloud, Spring Data Stream etc. Experience working with Distributed Databases such as Azure CosmosDB, Couchbase, and MongoDB. Experience working with Relational Databases such as MySQL or PostgreSQL. Experience working with Distributed Caching solutions such as Memcached, Redis, and Hazelcast. Experience working with Distributed Messaging solutions such Azure EventHub, Apache Kafka, and Solace. Experience building and optimizing production grade data pipelines (stream processing and batch) to prepare datasets at scale for data analysis, modeling, and optimization. Preferred Qualifications: Proven experience taking an idea from inception to life with an ability to explore a variety of open-source technologies. Experience with developing, deploying, and launching software products on public cloud preferably Microsoft Azure.
Duties & Responsibilities Architect and implement tagging solutions using Adobe Launch, Adobe Analytics, and Adobe Experience Platform (AEP). Collaborate with cross-functional teams (marketing, product, engineering) to gather tracking requirements and translate them into technical specifications. Design and maintain a robust data layer architecture for web and mobile platforms. Ensure data governance, documentation, and consistency across tagging implementations. Conduct QA and validation of analytics tags using tools like Adobe Debugger, Charles Proxy, and browser dev tools. Monitor and troubleshoot tagging issues to maintain data accuracy and performance. Stay updated on Adobe product enhancements and industry best practices. Basic Qualifications Bachelors or Master’s degree in Computer Science, Information Systems, or related field 6–10 years of experience in digital analytics and tag management, with a focus on Adobe Experience Cloud. Strong hands-on experience with Adobe Launch, Adobe Analytics, and JavaScript. Deep understanding of eCommerce platforms Experience designing and implementing data layers and event-based tracking. Familiarity with customer journey analytics, conversion tracking, and A/B testing tools. Knowledge of privacy regulations and data governance best practices. Excellent communication and stakeholder engagement skills Preferred Qualifications Adobe certifications (e.g., Adobe Analytics Architect, Adobe Launch Expert). Experience with server-side tagging and CDPs (Customer Data Platforms).
Duties & Responsibilities Design, development, and deployment of Power BI dashboards and reports Expertise in SQL based data models and queries Create advanced Excel reports and visualizations using pivot tables, Power Pivot, and cube functions Build and maintain OLAP cube connections for Excel-based analysis Collaborate with business stakeholders to gather requirements and translate them into technical solutions Ensure data accuracy, consistency, and performance across reporting systems Follow best practices for Power BI and Excel reporting, governance, and version control Stay current with BI trends and recommend tools and techniques to enhance reporting capabilities Basic Qualifications Bachelors or Master’s degree in Computer Science, Information Systems, or related field 4+ years of experience in business intelligence, data engineering, or analytics Expert-level proficiency in Power BI (DAX, Power Query, data modeling, visualization) Advanced SQL skills for data extraction, transformation, and performance tuning Advanced Excel skills including pivot tables, Power Pivot, cube formulas, and OLAP integration Experience working with large datasets and complex data environments Excellent communication and stakeholder management skills Ability to lead projects and deliver results in a fast-paced environment Proficient understanding of code versioning tools, such as Git / SVN Preferred Qualifications Experience with cloud data platforms (Azure, AWS, GCP) Familiarity with data warehousing concepts and tools (e.g., Snowflake) Knowledge of Python or R for data analysis Certification in Power BI, Excel, or related technologies
Duties & Responsibilities Review and analyze business requirements and technical specifications from business. Design and create manual test cases for Salesforce applications and related systems. Perform functional, regression and UAT testing in Salesforce CRM application. Validate Salesforce components such as custom objects, workflows, validation rules, and Lightning pages. Use Apex query to retrieve required data stored in servers. Automate the functional testcases during the sprint and maintain a robust regression suite. Report on regression status to key stakeholders. Identify, document, and track defects using tools like JIRA or Azure DevOps. Collaborate with developers, business analysts, and stakeholders to ensure quality deliveries. Participate in Agile ceremonies and contribute to sprint planning and retrospectives. Maintain test documentation and provide test summary reports. Basic Qualifications Bachelors degree in computer science, Information Systems, or related field 4+ years of experience as QA tester 2+ years of experience in Salesforce CRM testing. Understanding Automation framework and able to convert Salesforce functional test cases to automation test scripts and maintain a robust regression automation suite will be added advantage. Good understanding of Salesforce CRM, including standard/custom objects and business processes. Experience with test management tools (e.g., TestRail, Zephyr). Familiarity with Agile/Scrum methodologies. Strong analytical and communication skills. Ability to work independently and in a team environment. Preferred Qualifications Automation testing certifications (Selenium / Test Automation Engineer). Salesforce certifications (e.g., Salesforce Administrator). Experience with Salesforce Lightning. Knowledge of testing integrations between Salesforce and third-party systems. Hands-on experience or familiarity with Generative AI (Gen AI) tools that can assist in software testing, such as automated test case generation, defect prediction, or intelligent test data creation
Duties & Responsibilities Analyze retail business requirements and functional specifications to design and execute detailed test scenarios. Perform smoke, functional and regression testing manually. Develop, maintain, and execute automation test scripts using tools like Selenium, TestNG (or) Playwright. Execute API testing for retail backend services (inventory, product catalog, order flow) using Postman or Rest Assured. Integrate automation tests into CI/CD pipelines (e.g., Jenkins). Identify, document, and track defects using tools like JIRA. Collaborate with developers, business analysts, and other QA members Participate in test planning, estimation, and status reporting to key stakeholders. Work closely with developers, business analysts, and UAT teams to ensure seamless release and high-quality deliverables. Contribute to continuous improvement of testing processes and improvise existing automation framework. Basic Qualifications Bachelors in computer science, Information Systems, or related field 3+ years of experience in Functional and Automation Testing. Strong experience in Functional Testing and Test Case Design (preferably retail/eCommerce applications). Experience with version control systems (Git, Bitbucket). Experience in API testing using Postman / Rest Assured. Familiarity with Agile / Scrum methodology. Understanding of Defect Life Cycle and Software Development Life Cycle (SDLC). (Optional) Knowledge of Performance testing tools (JMeter, LoadRunner). Preferred Qualifications Hands-on experience in UI Automation using Selenium WebDriver (using Java/C#). Knowledge on SQL to execute and modify queries to fetch test data from different databases Certification in Test automation
Duties & Responsibilities Design, development, and deployment of Power BI dashboards and reports Expertise in SQL based data models and queries Create advanced Excel reports and visualizations using pivot tables, Power Pivot, and cube functions Build and maintain OLAP cube connections for Excel-based analysis Collaborate with business stakeholders to gather requirements and translate them into technical solutions Ensure data accuracy, consistency, and performance across reporting systems Stay current with BI trends and recommend tools and techniques to enhance reporting capabilities Basic Qualifications Bachelors or Master’s degree in Computer Science, Information Systems, or related field 2+ years of experience in business intelligence, data engineering, or analytics Proficiency in Power BI (DAX, Power Query, data modeling, visualization) Proficiency in SQL skills for data extraction, transformation, and performance tuning Proficiency in Excel skills including pivot tables, Power Pivot, cube formulas, and OLAP integration Experience working with large datasets and complex data environments Excellent communication skills Proficient understanding of code versioning tools, such as Git / SVN Preferred Qualifications Experience with cloud data platforms (Azure, AWS, GCP) Familiarity with data warehousing concepts and tools (e.g., Snowflake) Knowledge of Python or R for data analysis Certification in Power BI, Excel, or related technologies