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consultant (data engineer)

data engineer

Vista Applied Solutions Group Inc

<div>
 
 
 Job Summary:
 
 
 
 Client is looking for Data Engineer and this is hybrid position in Bengaluru.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Data Engineering expertise is required with specific experience in data modeling using Google BigQuery as well as more advanced SQL capabilities.
 </li>
 <li>
 Minimum 5-10 years Data Engineering background, with specific Google BigQuery skills are mandatory.
 </li>
 <li>
 Ideally someone with strong SQL background and also good exposure to GCP in general.
 </li>
 <li>
 With a strong background in Mapping, creatively building Data Models, optimizing Data Models.
 </li>
 <li>
 They also need a Data Engineer with extensive data modeling and Big Query experience to help create data tables and validate data/reports.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Minimum 5-10 years Data Engineering background
 </li>
 <li>
 Google Big Query experience
 </li>
 <li>
 Strong Data Modelling background
 </li>
 <li>
 Working On-Site 2-3 days per week in Bengaluru
 </li>
 <li>
 Flexible to work both IST and U.S Time zones
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 GCP background
 </li>
 <li>
 Any exposure to Tableau
 </li>
 </ul>
</div>

Data Engineer

Amazon

<div>
 
 Description
 
 
 
 Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, our mission is to build a new shopping experience, beyond search &amp; browse, helping busy customers easily find low-regret products that meet their in-the-moment need. You will have opportunity to closely work with teams who are building Agentic AI powered CX.
 
 
 An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 We're looking for an intermediate-level Data Engineer to design and implement data products and solutions that power our shopping platforms.
 </li>
 <li>
 You'll own medium to large data initiatives, participate in architectural discussions, build data systems that can scale to PB and streaming data with 100K TPS
 </li>
 <li>
 You will be responsible for building data products that power mission critical analytical reports and metrics for Amazon AI products that are viewed at the highest levels in the organization.
 </li>
 <li>
 You should have deep expertise in the design, creation, management, and business use of extremely large datasets.
 </li>
 <li>
 This role involves building scalable data systems while maintaining high standards of data quality and reliability.
 </li>
 <li>
 You will utilize Agentic AI to build data products and solutions
 </li>
 <li>
 You will mentor entry-level engineers.
 
 
 </li>
 </ul>
 A day in the life
 
 
 This data engineer designs, builds, and maintains scalable data pipelines that transform raw information into reliable, high-quality datasets for analytics and machine learning. Each day involves design discussion with engineering teams for instrumentation, seek out innovative approaches to design/update data flows, and collaborating with with other internal teams to integrate your data products with theirs and ensure timely, trustworthy data delivery.
 
 
 
 About The Team
 
 
 
 Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search &amp; browse, helping busy customers easily find low-regret products that meet their in-the-moment need. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of data engineering experience
 </li>
 <li>
 4+ years of SQL experience
 </li>
 <li>
 Experience with data modeling, warehousing and building ETL pipelines
 </li>
 <li>
 Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 </li>
 <li>
 Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3123418
</div>

BitGo

<div>
 BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.
 
 
 BitGo is seeking a skilled Data Engineer with strong experience in building robust, scalable data pipelines and monitoring systems. The ideal candidate will have expertise in SQL and Python, and hands-on experience with modern data platforms such as Snowflake, dbt, and cloud-native orchestration tools (e.g., Airflow). Familiarity with reconciliation processes, anomaly detection, and data quality monitoring is key. A background in supporting audit, compliance, or risk functions is a plus, along with a collaborative mindset and attention to detail in working with control-focused teams.
 
 
 You'll collaborate closely with talented engineers, analysts, data scientists, product managers, and security experts across multiple domains, gaining exposure to all facets of our business, while providing repeatable and auditable results to various external stakeholders. .
 
 
 This is a unique opportunity to contribute to a high-impact team at the forefront of digital asset security and financial technology.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable, reliable data pipelines that collect, transform, and curate data from internal systems.
 </li>
 <li>
 Build automated reconciliation, monitoring and alerting systems.
 </li>
 <li>
 Enhance and expand BitGo&rsquo;s blockchain reporting infrastructure.
 </li>
 <li>
 Integrate select external data sources to enrich the data platform.
 </li>
 <li>
 Ensure high data quality and auditability across all pipelines.
 </li>
 <li>
 Optimize data systems for near real-time processing and insights.
 
 
 </li>
 </ul>
 
 Skills &amp; Experience:
 
 
 
 We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: delivering trust in digital assets.
 
 
 
 Required
 
 
 
 <ul>
 <li>
 Engineering degree in Computer Science or equivalent
 </li>
 <li>
 3+ years of work experience in relevant field (Data Engineer, Software Engineer)
 </li>
 <li>
 Strong experience with server-side languages (Python)
 </li>
 <li>
 Strong experience with SQL databases like Postgres or MySQL
 </li>
 <li>
 Experience building data pipelines/ETL and familiarity with design principles
 </li>
 <li>
 Experience with data warehouse technologies and data modeling best practices (Snowflake, BigQuery, Spark etc)
 </li>
 <li>
 Strong experience with systems design and event driven systems (Kafka)
 </li>
 <li>
 A self-starter capable of adapting quickly and being decisive
 </li>
 <li>
 A willingness to be on the forefront of designing for quality and attestable results
 </li>
 <li>
 Experience with unit and functional testing and debugging
 </li>
 <li>
 Experience in Git/GitHub and branching methodologies, code review tools, CI tools, JIRA, Confluence, etc.
 </li>
 <li>
 Ability to work independently in a fast-paced environment
 </li>
 <li>
 High integrity and accountability
 </li>
 <li>
 Comfortable with inclusion in on-call rotations for system support
 </li>
 <li>
 Effective written and verbal communication skills
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in Financial Services and/or Financial Technology
 </li>
 <li>
 Understanding and strong interest in cryptocurrencies and blockchain industry
 </li>
 <li>
 Experience with large-scale, real-time, and distributed applications
 </li>
 <li>
 Experience with data governance, handling PII, data masking
 
 
 </li>
 </ul>
 
 Why Join BitGo?
 
 
 
 Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world&rsquo;s financial markets.
 
 
 Here are some of the benefits of working at BitGo:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Hybrid working model
 </li>
 <li>
 IT equipment support for work
 </li>
 <li>
 Meal &amp; Commute allowance
 </li>
 <li>
 Medical Insurance
 </li>
 <li>
 Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
 </li>
 <li>
 Snacks : on-the-house in the Bangalore office
 </li>
 <li>
 Great/Talented workforce to learn and grow with
 
 
 </li>
 </ul>
 Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.
 
 
</div>

Data Engineer - E2

Kobie

<div>
 
 Join our India Tech Hub &ndash; Be among the first hires!
 
 
 
 Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world&rsquo;s most recognized brands while working alongside some of the best and brightest in loyalty.
 
 
 
 About The Team And What We Will Build Together
 
 
 
 We find actionable insights in our clients&rsquo; loyalty data that helps drive enterprise value. We create real-time dashboards to inform internal and external stakeholders.
 
 
 As a Senior Data Engineer at Kobie, you will play a leading role within our data engineering team, partnering closely with the Manager of Data Engineering and the broader data organization. You will own the design and evolution of data pipelines and architectures that power Kobie&rsquo;s products. Your deep expertise in data modeling, architecture, and scalable system design will help shape best practices across multiple Snowflake environments. You will guide Data Engineers through implementation while ensuring our data platform is secure, performant, and ready for growth.
 
 
 
 How You Will Make An Impact
 
 
 
 <ul>
 <li>
 Lead the design and implementation of scalable, reusable ETL/ELT frameworks and data pipelines across multiple client environments
 </li>
 <li>
 Define and enforce engineering best practices for data modeling, quality assurance, and performance optimization
 </li>
 <li>
 Mentor and support Data Engineers, conducting peer reviews and ensuring alignment with architectural standards.
 </li>
 <li>
 Oversee the operational stability of production data pipelines, including monitoring, troubleshooting, and capacity planning
 </li>
 <li>
 Partner with data architects and product teams to design end-to-end data solutions aligned to business goals
 </li>
 <li>
 Conduct source data analysis and profiling to guide schema and model design decisions
 </li>
 <li>
 Implement and optimize data models including slowly changing dimensions, transactional, accumulating snapshot, and periodic snapshot fact tables
 </li>
 <li>
 Collaborate with platform engineers to evolve event-driven and streaming architectures supporting real-time analytics
 </li>
 <li>
 Drive automation initiatives for testing, auditing, and metadata capture to ensure transparency and reproducibility
 
 
 </li>
 </ul>
 
 What You Need To Be Successful
 
 
 
 <ul>
 <li>
 5&ndash;7 years of Data Engineering experience, with at least 3 years operating in Snowflake
 </li>
 <li>
 Proven success designing and deploying large-scale data pipelines and dimensional models using modern cloud data platforms.
 </li>
 <li>
 Deep understanding of Kimball and Data Vault methodologies, and how they integrate within Lakehouse and event-driven architectures.
 </li>
 <li>
 Advanced proficiency with SQL and Python for pipeline development, data validation, and automation
 </li>
 <li>
 Experience leading data engineering projects through the full SDLC, from requirements through deployment and monitoring. Expertise in integrating batch and streaming data sources, including Kafka, APIs, and message queues.
 </li>
 <li>
 Experience with orchestration and workflow management tools such as Airflow, Matillion or dbt.
 </li>
 <li>
 Cloud experience with Azure and/or AWS, including cost optimization and data security best practices.
 </li>
 <li>
 Strong communication and leadership skills to guide cross-functional teams and present technical concepts clearly to non-technical stakeholders.
 </li>
 <li>
 Value-add: familiarity with vector and graph databases, Apache NiFi, and modern data sharing or clean-room technologies
 
 
 </li>
 </ul>
 
 About Kobie
 
 
 
 Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We&rsquo;re always looking for talented individuals ready to join a collaborative, growth-focused culture.
 
 
 As a trusted partner to some of the world&rsquo;s most recognized brands, we are loyalty leaders, helping brands build lasting emotional connections with their consumers.  We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level.As we launch our India Tech Hub, we are excited to bring our award-winning culture to a new region - creating an environment where collaboration, flexibility, and career growth come together to build something truly special.
 
 
 We are proud to be the only loyalty provider to be externally recognized for their culture. We believe people thrive when they feel valued, supported, and empowered to be their authentic selves. Our commitment to diversity, equity, and inclusion ensures every teammate has a voice and the opportunity to be heard.
 
 
 Giving back is in our DNA at Kobie,through an annual fundraiser, charitable partnerships, and volunteer opportunities, we encourage our teammates to make a difference in their communities.
 
 
 To support our teammates beyond just their careers, we offer highly competitive benefits, comprehensive health coverage, and well-being perks that support our teammates and their dependents. We understand the importance of time for life outside of work - recognizing public holidays,offering flexible time off, and prioritizing work-life balance.
 
 
 As we expand into India, our new teammates will be fully integrated with our U.S. teams, working on global projects and gaining exposure to top industry leaders. With continued growth, we will establish a physical office in Bengaluru, India, giving teammates aspace for collaboration and fostering connection.
 
 
 Now is the perfect time to join Kobie. Be part of something big and help shape the future of our global capabilities center, the Kobie India Tech Hub.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Sr. Data Engineer

CDW UK

<div>
 
 
 Description
 
 
 
 At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It&rsquo;s why we&rsquo;re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we&rsquo;re headed. We&rsquo;re proud to share our story and Make Amazing Happen at CDW.
 
 
 
 Key Responsibility
 
 
 &nbsp;
 
 <ul>
 <li>
 Stay up to date with
 
 Azure and Microsoft Fabric advancements
 
 to enhance data engineering processes.
 
 
 
 
 Other Responsibilities
 
 </li>
 </ul>
 <ul>
 <li>
 Design, develop, and optimize
 
 data pipelines and ETL processes
 
 using
 
 Microsoft Fabric,
 
 
 Azure Data Factory (ADF)
 
 .
 </li>
 <li>
 Implement
 
 data warehousing solutions
 
 and support end-to-end data lifecycle management.
 </li>
 <li>
 Work with
 
 SQL
 
 to write complex queries, optimize performance, and manage data transformation.
 </li>
 <li>
 Utilize
 
 Azure Portal
 
 to manage and monitor cloud-based data infrastructure.
 </li>
 <li>
 Collaborate with stakeholders to
 
 understand data requirements
 
 and build data models for analytics and reporting.
 </li>
 <li>
 Ensure
 
 data integrity, security, and governance
 
 in alignment with best practices.
 </li>
 <li>
 Provide basic support and understanding of
 
 Microsoft Fabric
 
 for analytics and data management.
 </li>
 <li>
 Troubleshoot data pipeline issues and optimize
 
 cloud-based data workflows
 
 .
 </li>
 </ul>
 
 &bull;
 
 &nbsp;
 
 
 Report project/task status to the appropriate Application Development Manager on a weekly basis (at minimum).
 
 
 &nbsp;&bull;
 
 
 Ensure stakeholders are responded to in a timely and professional manner. Foster open lines of communication with all parties.
 
 
 
 &nbsp;
 
 
 
 Education and/or Experience Qualifications
 
 
 
 &nbsp;&bull;
 
 
 Bachelor&rsquo;s degree in Computer Science, or equivalent practical knowledge/experience.
 
 
 
 &nbsp;
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 2+ years
 
 of experience in
 
 Data Engineering
 
 .
 </li>
 <li>
 Strong expertise in
 
 SQL
 
 , including query performance tuning and stored procedures.
 </li>
 <li>
 Hands-on experience with
 
 Data Warehousing concepts
 
 , star/snowflake schema, indexing, and partitioning.
 </li>
 <li>
 Proficiency in
 
 Microsoft Fabric,
 
 
 Azure Data Factory (ADF)
 
 for ETL/ELT workflows.
 </li>
 <li>
 Working knowledge of
 
 Azure Portal
 
 for resource management and monitoring.
 </li>
 <li>
 Understanding of
 
 Microsoft Fabric
 
 and its role in data analytics.
 </li>
 <li>
 Familiarity with
 
 Azure Data Services
 
 (e.g., Azure Synapse, Azure SQL Database, Azure Storage).
 </li>
 <li>
 Experience in
 
 data modeling, data governance, and metadata management
 
 .
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to debug and optimize data pipelines.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 Python or Spark
 
 for data transformations.
 </li>
 <li>
 Exposure to
 
 real-time data processing
 
 (e.g., Azure Event Hubs, Stream Analytics).
 </li>
 <li>
 Certifications in
 
 Azure Data Engineering (e.g., DP-203)
 
 , Fabric Certifications (DP600, DP700) or relevant Microsoft certifications.
 </li>
 <li>
 Understanding of
 
 Power BI or other visualization tools
 
 .
 </li>
 </ul>
 
 
 We make technology work so people can do great things.
 
 &nbsp;
 
 
 CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&amp;P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive.
 
 
 CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.     &nbsp;
 
 
 CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, CDW&rsquo;s goal is to get to know you as an applicant and understand your experience, strengths, skills, and qualifications. While AI can help you present yourself more clearly and effectively, the essence of your application should be authentically yours. To learn more, please review CDW's AI Applicant Notice.
 
</div>

Consultant (Data Engineer)

Quince

<div>
 
 ABOUT QUINCE
 
 
 
 Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.
 
 
 Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions:
 
 
 <ul>
 <li>
 Customer First: We prioritize customer satisfaction in every decision.
 </li>
 <li>
 High Quality: True quality means premium materials and rigorous production standards you can feel good about.
 </li>
 <li>
 Essential Design: We focus on timeless, functional essentials instead of chasing trends.
 </li>
 <li>
 Always a Better Deal: Innovation and transparency ensure value for both customers and partners.
 </li>
 <li>
 Social &amp; Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages.
 
 
 </li>
 </ul>
 Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency.
 
 
 
 OUR TEAM AND SUCCESS
 
 
 
 At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience &ndash; one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence.
 
 
 If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.
 
 
 
 THE ROLE
 
 
 
 
 Software Development Engineer -1 (Data Engineer)
 
 
 
 We&rsquo;re looking for an SDE-1 Data Engineer to join our growing team. In this role, you will help build the data infrastructure, pipelines, and services that power analytics, engineering, and data-science use cases across the organization. You will work closely with senior engineers to translate business needs into scalable data solutions, maintain high coding standards, and ensure reliable data availability for downstream consumers. Success in this role means demonstrating strong technical curiosity, writing clean and efficient code, and taking ownership of assigned modules while continuously learning and improving. This position plays a vital role in strengthening our data foundation and supporting Quince&rsquo;s broader mission of offering exceptional quality at incredible value.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain data pipelines, tools, and datasets under the guidance of senior engineers=
 </li>
 <li>
 Build reliable, scalable components on cloud platforms for ingestion, transformation, and data delivery
 </li>
 <li>
 Collaborate with engineering, analytics, and product teams to understand functional requirements and convert them into technical tasks
 </li>
 <li>
 Contribute to low-level design and write clean, high-quality, well-tested code
 </li>
 <li>
 Take ownership of assigned tasks/modules and ensure timely, high-quality execution
 </li>
 <li>
 Assist in optimizing pipeline performance, improving latency, and enhancing overall data reliability
 </li>
 <li>
 Learn, evaluate, and integrate modern big data tools and frameworks
 </li>
 <li>
 Support operational excellence by participating in monitoring, debugging, and issue resolution
 </li>
 <li>
 Maintain strong documentation and adhere to coding, data-quality, and architectural standards
 </li>
 <li>
 Primarily hands-on role focused on programming, execution, and continuous improvement
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 0&ndash;1 years of experience in data engineering, backend engineering, or related technical fields
 </li>
 <li>
 Experience or academic exposure to big data technologies (Hadoop/Spark/Hive/Presto)
 </li>
 <li>
 Familiarity with message queues (Kafka, Kinesis, RabbitMQ)
 </li>
 <li>
 Proficiency in at least one programming language &mdash; Python, Java, or Scala
 </li>
 <li>
 Basic understanding of REST services and data ingestion/extraction patterns
 </li>
 <li>
 Good understanding of data warehousing concepts and ETL/ELT fundamentals
 </li>
 <li>
 Strong SQL skills (joins, aggregations, window functions, CTEs, etc.)
 </li>
 <li>
 Understanding of distributed computing principles
 </li>
 <li>
 Strong analytical and problem-solving abilities and comfort working with large datasets
 </li>
 <li>
 High ownership, eagerness to learn, and ability to work in ambiguous, fast-paced environments
 </li>
 <li>
 Detail-oriented mindset with a focus on reliability, accuracy, and data quality.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Exposure to cloud platforms (AWS preferred)
 </li>
 <li>
 Experience with MPP data warehouses (Snowflake, Redshift)
 </li>
 <li>
 Hands-on experience with Apache Spark or Kafka
 </li>
 <li>
 Familiarity with NoSQL stores (Redis, DynamoDB, Memcached)
 </li>
 <li>
 Experience with Git, CI/CD pipelines, or containerization (Docker)
 </li>
 <li>
 Interest in data architectures, performance optimization, and large-scale distributed systems.
 
 
 </li>
 </ul>
 
 WHY QUINCE?
 
 
 
 Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
 
 
 
 EQUAL OPPORTUNITY &amp; HIRING INTEGRITY
 
 
 
 Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
 
 
 Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.
 
 
 Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
 
 
 
 Security Advisory: Beware of Frauds
 
 
 
 At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom&mdash;never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
</div>

Software Development Engineer 1 - Data Engineering

Microsoft

<div>
 
 Overview
 
 
 
 Microsoft Viva Insights (also known as Copilot Analytics) empowers organizations to thrive in the era of AI-powered work. As part of Microsoft 365 Copilot, it delivers privacy-protected, data-driven insights through a unified experience that helps organizations maximize the impact of their workforce by understanding and accelerating the adoption of Copilot and Agents.
 
 
 Our team builds this platform using large scale data systems to surface actionable insights from collaboration and business signals. We are hiring a
 
 Senior Software Engineer
 
 to help deliver data platform which helps scale this experience to planet scale, to realize potential by unlocking the full value of Microsoft Copilot.
 
 
 In the fast moving world of AI innovation, we operate with a startup mindset - agile, customer-obsessed, and deeply collaborative. Our inclusive, growth-oriented culture is grounded in Microsoft&rsquo;s mission to empower every person and organization on the planet to achieve more.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 Running a global world class service that is tightly integrated with mission critical productivity apps with millions of active users presents broad and evolving challenges. We are constantly in need of improving our platform and cloud services to meet the growing demands of a large user base that are rapidly expanding. We have complex multi-tiered applications running off distributed micro-services, handling billions of user interactions every day, generating petabytes of data that require analysis and transformation, spanned across hundreds of thousands of machines. As a Senior Software Engineer, your key responsibilities include the following:
 
 
 <ul>
 <li>
 Building future looking features in the platform which provide value to customers.
 </li>
 <li>
 Modernizing our systems to ensure that our developers can work with the newest and best technology.
 </li>
 <li>
 Refactoring and optimizing our computations and framework to improve our performance and scalability so that we can deliver cost-effective features.
 </li>
 <li>
 Developing tools to analyze, monitor and recover our services to increase the resiliency of our services.
 </li>
 <li>
 Improving our engineering systems to ensure that our growing and global development team can build, deploy and manage our service in a secure and compliant manner.
 </li>
 <li>
 Build and improve systems that enable big data analysis to measure user and organizational productivity and customer engagement.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 4+ years of hands-on software design and coding experience.
 </li>
 <li>
 Proficiency in object-oriented development, with C# and .Net Framework (preferred) or any other object-oriented programming languages such as Java, C++ or related.
 </li>
 <li>
 Strong computer science fundamentals and proven algorithm design capability.
 </li>
 <li>
 Good technical, cross group collaboration and communication skills.
 </li>
 <li>
 Hands-on experience in architectural design and large-scale systems.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 #SeniorSoftwareEngineer
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Senior Software Engineer

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