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data engineer

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 Experienced Data Engineer with over 5 years of expertise in building scalable data pipelines using Databricks, PySpark, AWS, and Airflow. Skilled in designing robust architectures, improving data quality, and driving insights in agile, stakeholder-driven environments&mdash;preferably within the life sciences domain.
 
 
 
 
 <ul>
 <li>
 
 Role: Data Engineer
 
 </li>
 <li>
 
 Location: All Persistent Locations
 
 </li>
 <li>
 
 Experience: 5 to 11 years
 
 </li>
 <li>
 
 Job Type:
 
 
 Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Designing, creating, testing and maintaining the complete data management &amp; processing systems.
 </li>
 <li>
 Working closely with the stakeholders &amp; solution architect.
 </li>
 <li>
 Ensuring architecture meets the business requirements.
 </li>
 <li>
 Building highly scalable, robust &amp; fault-tolerant systems.
 </li>
 <li>
 Discovering data acquisitions opportunities
 </li>
 <li>
 Finding ways &amp; methods to find value out of existing data.
 </li>
 <li>
 Improving data quality, reliability &amp; efficiency of the individual components &amp; the complete system.
 </li>
 <li>
 Creating data models to reduce system complexities and hence increase efficiency &amp; reduce cost.
 </li>
 <li>
 Setting &amp; achieving individual as well as the team goal.
 </li>
 <li>
 Problem solving mindset working in agile environment
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 Candidate should have 5+ years of experience in Data Engineering
 </li>
 <li>
 Must have knowledge and working experience in Databricks, PySpark and in AWS, Apache Airflow, ETL, SQL
 </li>
 <li>
 Nice to Have &ndash; Life science
 </li>
 <li>
 domain experience (Pharma), Redshift, BI Tools (Tableau/Power BI)
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Data Engineer

DoorDash

<div>
 
 About the Team
 
 
 
 Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
 
 
 
 About the Role
 
 
 
 DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
 
 
 
 You're excited about this opportunity because you will&hellip;
 
 
 
 <ul>
 <li>
 Own critical data systems that support multiple products/teams
 </li>
 <li>
 Develop, implement and enforce best practices for data infrastructure and automation
 </li>
 <li>
 Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
 </li>
 <li>
 Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
 </li>
 <li>
 Manage a portfolio of data products that deliver high-quality, trustworthy data
 </li>
 <li>
 Help onboard and support other engineers as they join the team
 
 
 </li>
 </ul>
 
 We're excited about you because&hellip;
 
 
 
 <ul>
 <li>
 3+ years of professional experience
 </li>
 <li>
 3+ years experience working in data platform and data engineering or a similar role
 </li>
 <li>
 Proficiency in programming languages such as Python/Kotlin/Scala
 </li>
 <li>
 3+ years of experience in ETL orchestration and workflow management tools like Airflow
 </li>
 <li>
 Expert in database fundamentals, SQL, data reliability practices and distributed computing
 </li>
 <li>
 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
 </li>
 <li>
 Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
 </li>
 <li>
 Comfortable working in fast paced environment, self starter and self organizing
 </li>
 <li>
 Ability to think strategically, analyze and interpret market and consumer information
 </li>
 <li>
 You must be located near one of our engineering hubs indicated above
 
 
 </li>
 </ul>
 Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
 
 
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144
 
 
 
 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
 
</div>

Software Engineer, Data Engineer II

NielsenIQ

<div>
 
 Company Description
 
 
 
 The very rapid development of e-commerce today gives access to thousands of information. These data are difficult to exploit by companies, which then have difficulty choosing the right levers of action and measuring their impact.
 
 
 This is where NIQ for Digital Commerce comes in! Every day, we collect more than 60 billion pieces of information, process them and use them in innovative monitoring and action tools for professionals in the sector. Our goal: to give our customers and consumers real-time visibility into the market. Today : NIQ for Digital Commerce is a leading start-up in the &lsquo;Retail Analytics&rsquo; sector. In full growth, particularly internationally, we are looking for new collaborators to join our fabulous team! A young but experienced, dynamic and complementary team: a resolutely start-up spirit! Real job and career opportunities A friendly atmosphere and a climate of trust that promotes autonomy and challenge!
 
 
 
 Job Description
 
 
 
 We are looking for an experienced Senior Data /ML Engineer to join our growing Machine Learning team. Your work will entail working on one or more projects at a time with tasks such as:
 
 
 <ul>
 <li>
 Developing ML tools (web services, APIs, etc)
 </li>
 <li>
 Preparing data for ML models
 </li>
 <li>
 Researching the latest technologies used in ML (time-series, NLP, Image recognition, ...)
 </li>
 <li>
 Developing and improving predictive model
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proficiency with Python; knowledge of C++ or Golang is a plus
 </li>
 <li>
 Experience with ML frameworks such as PyTorch, TensorFlow, or Keras
 </li>
 <li>
 Experience deploying and managing ML solutions in cloud environments such as Google Cloud Platform (GCP), AWS, or Azure
 </li>
 <li>
 Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow) for production deployment
 </li>
 <li>
 Experience with time-series analysis and/or data engineering is a plus
 </li>
 <li>
 Comfortable working with Linux, Jupyter, Git, SQL, and NoSQL databases
 </li>
 <li>
 Strong experience with Pandas and SQL (including performance optimization and query tuning)
 </li>
 <li>
 Skilled in writing and maintaining Dockerfiles for reproducible builds
 </li>
 <li>
 Professional proficiency in English
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Hybrid mode : 1per week at Chennai or Pune Office
 
 
 
 Our Benefits
 
 
 
 <ul>
 <li>
 Flexible working environment
 </li>
 <li>
 Volunteer time off
 </li>
 <li>
 LinkedIn Learning
 </li>
 <li>
 Employee-Assistance-Program (EAP)
 
 
 </li>
 </ul>
 
 About NIQ
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 For more information, visit NIQ.com
 
 
 Want to keep up with our latest updates?
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
 
 
</div>

Senior ML Engineer

Uplers

<div>
 
 
 Senior Data Scientist + Instructor
 
 
 
 
 
 
 
 Experience:
 
 4 - 10 Years Exp
 
 
 
 Salary:
 
 Competitive
 
 
 
 Preferred Notice Period:
 
 Upto 30 Days
 
 
 
 Opportunity Type:
 
 Office (Pune)
 
 
 
 Placement Type:
 
 Full-time
 
 
 
 
 
 
 Note: This is a requirement for one of Uplers' Clients Newton School
 
 
 
 
 
 
 
 Must have skills:
 
 Machine Learning
 
 AND
 
 K-means
 
 AND
 
 Clustering
 
 
 
 
 
 
 About Newton School:
 
 
 
 Come be part of a rocket ship that&rsquo;s creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CRED&rsquo;s Kunal Shah, Flipkart&rsquo;s Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaan&rsquo;s Sujeet Kumar among others.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 <ul>
 <li>
 Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", &ldquo;Big Data&rdquo;, and &ldquo;Data Analytics&rdquo; courses, covering the full syllabus from foundational concepts to advanced techniques.
 </li>
 <li>
 Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.
 </li>
 <li>
 Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detection.
 </li>
 <li>
 Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.
 </li>
 <li>
 Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).
 </li>
 <li>
 Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).
 </li>
 <li>
 Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.
 </li>
 <li>
 Contribute to the academic and research environment of the department and the university.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
 </li>
 <li>
 Demonstrable 4-10 years of expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.
 </li>
 <li>
 Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
 </li>
 <li>
 Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.
 </li>
 <li>
 Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Experience in mentoring student teams for data science competitions or hackathons.
 </li>
 </ul>
 
 
 
 
 
 Perks &amp; Benefits:
 
 
 <ul>
 <li>
 Competitive salary packages aligned with industry standards.
 </li>
 <li>
 Access to state-of-the-art labs and classroom facilities.
 </li>
 <li>
 To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education!
 </li>
 </ul>
 
 
 
 
 
 How to apply for this opportunity?
 
 
 
 
 
 
 
 Easy 3 Step Process:
 
 
 <ul>
 <li>
 Click On Apply and register or log in to our portal
 </li>
 <li>
 Upload updated Resume &amp; complete the Screening Form
 </li>
 <li>
 Increase your chances of getting shortlisted &amp; meet the client for the Interview!
 </li>
 </ul>
 
 
 
 
 
 About Uplers:
 
 
 
 Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
 
 
 (Note: There are many more opportunities apart from this on the portal.)
 
 
 So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
 
</div>

Senior Data Scientist + Instructor

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

Data Scientist

<div>
 
 About the Team
 
 
 
 Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.
 
 
 
 About the Role
 
 
 
 The Data Tools mission is to build robust data platforms and establish policies that guarantee the analytics data is of high quality, easily accessible/cataloged, and compliant with financial and privacy regulations, fostering trust and confidence in our data-driven decision-making process.
 
 
 We are building the Data Tools team in India and you will have an opportunity to be part of a founding team with a greater opportunity for impact where you can help grow the team and shape the roadmap for the data platform at DoorDash. You will report directly to the Data Tools Engineering Manager.
 
 
 
 
 
 You're excited about this opportunity because you will&hellip;
 
 
 
 <ul>
 <li>
 Work on building a data discovery platform, privacy frameworks, unified access control frameworks, and data quality platform to enable data builders at DoorDash to deliver high-quality and trustable data sets and metrics
 </li>
 <li>
 Help accelerate the adoption of the data discovery platform by building integrations across online, analytics platforms and promoting self-serve
 </li>
 <li>
 Come up with solutions for scaling data systems for various business needs
 </li>
 <li>
 Collaborate in a dynamic startup environment
 
 
 </li>
 </ul>
 
 We're excited about you because&hellip;
 
 
 
 <ul>
 <li>
 B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
 </li>
 <li>
 2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python
 </li>
 <li>
 Prior technical experience in Big Data infrastructure &amp; governance - you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like DataHub, Spark, Airflow, Kafka, Flink
 </li>
 <li>
 Experience improving efficiency, scalability, and stability of data platforms
 
 
 </li>
 </ul>
 We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.
 
 
 Please see the independent bias audit report covering our use of Covey here.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
 
 
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144
 
 
 
 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
 
</div>

Software Engineer, Backend

Explore 120+ Data engineer in Pune India this November. Find roles across top companies and apply now to boost your career.

120 data engineer jobs IN Pune India

Data Engineer

Software Engineer, Data Engineer II

Senior ML Engineer

Senior Data Scientist + Instructor

Data Scientist

Software Engineer, Backend

Software Engineer, Backend