ai data scientist

data analyst

data research analyst

nlp- data scientist

senior aws data engineer

nlp data scientist

Infosys

<div>
 We are looking for smart, self-driven, high energy people with top notch communication skills, intellectual curiosity and passion for technology in Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (Financial Services), strong business acumen and excellent soft skills &amp; Exposure to Technology.
</div>

NLP- Data Scientist

Verdantas

<div>
 
 
 Join Verdantas &ndash; A Top #ENR 81 Firm!
 
 
 
 
 Position: AI Data Scientist
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and implement statistical models and machine learning algorithms.
 </li>
 <li>
 Clean, process, and analyze large datasets from various sources.
 </li>
 <li>
 Visualize data insights using tools like Power BI, Tableau, or Python libraries.
 </li>
 <li>
 Collaborate with AI Engineers to deploy models into production environments, ensuring scalability and performance. Communicate findings to stakeholders through reports and presentations.
 </li>
 <li>
 Continuously improve data quality and model performance.
 </li>
 </ul>
 
 
 Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, statistics, mathematics, or a related field.
 </li>
 <li>
 3-5 years of experience in IT and related fields.
 </li>
 <li>
 Experience with
 
 AI frameworks
 
 like LangChain, Semantic Kernel, and Azure OpenAI Service.
 </li>
 <li>
 Strong foundation in statistics, data mining, and algorithm design.
 </li>
 <li>
 Strong proficiency in programming languages such as Python, R, or SQL and
 
 
 REST APIs.
 </li>
 <li>
 Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow).
 </li>
 <li>
 Familiarity with cloud platforms (e.g., Azure, AWS, GCP).
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and collaboration abilities.
 </li>
 </ul>
 
 
 
 
 
 Location
 
 : Pune Office
 
</div>

AI Data Scientist

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Consultant Tax Technology Consulting - Sirion - CLM
 
 
 
 The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now!
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Consultant in Deloitte&rsquo;s Legal Business Services function, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver technical services for companies that streamline their process and increase efficiency, leveraging, integrating with numerous applications, and creating custom solutions.
 
 
 This is a unique opportunity for you to join a team as it expands and helps us position Deloitte as the clear legal technology leader.
 
 
 As a Legal Business Consultant, you will contribute to the growth and success of Deloitte Tax LLP in a variety of ways, including:
 
 
 <ul>
 <li>
 Client Management : Participate in the day-to-day interactions with client&rsquo;s project team members and Deloitte project leadership members.
 </li>
 <li>
 Delivery : Work with a team to optimize tax and legal processes, leveraging technology to align tax and legal software with the clients&rsquo; specific requirements and goals.
 </li>
 <li>
 Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments.
 </li>
 <li>
 Support : Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes.
 </li>
 <li>
 Project Management : Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls.
 </li>
 <li>
 Cross Functional Teaming : Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically.
 </li>
 <li>
 People Development : Participate in the development of team members.
 </li>
 <li>
 Business Development : Participate in and contribute to pursuit teams.
 
 
 </li>
 </ul>
 
 The team
 
 
 
 At Deloitte Tax LLP, our Legal Business Services (LBS) practice helps legal departments pursue a streamlined, transparent, and efficient legal function that enhances the core responsibilities of operations, contracting, compliance, reporting and planning, while also positioning Deloitte as a strategic business advisor for the digital era. We specialize in advising legal departments and can effectively address a corporate legal function&rsquo;s unique needs, requirements and obligations. As legal operations and contracting specialists, we help clients make appropriate operations and technology choices. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with contract lifecycle management, legal entity management, and legal operations services.
 
 
 Deloitte LBS professionals are aligned across our global network of member firms to support our clients&rsquo; objectives and address their challenges. Our team&rsquo;s multi-disciplinary approach combines technical and technology skillsets, enabling greater impact and efficiency within our client&rsquo;s organization. LBS helps clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, contract lifecycle management, legal entity management, and legal operating models. Learn more about Deloitte Legal Business Services.
 
 
 
 Qualifications
 
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Law, Information Technology, Computer Science, or a related field.
 </li>
 <li>
 2+ years of experience in CLM platform implementation, business process consulting, or technology advisory, with hands-on exposure to one or more leading CLM solutions (e.g., Icertis, DocuSign, Ironclad, SirionLabs, Conga, Agiloft, etc.).
 </li>
 <li>
 Trained and certified on Sirion Platform (Sirion L1, L2, L3 trained &amp; Certified, Sirion Certified CLM Specialist), At least 1-2 years of Sirion implementation experience for Global organizations.
 </li>
 <li>
 Experience in requirements gathering, process mapping, and solution design for contract lifecycle management or legal operations.
 </li>
 <li>
 Demonstrated ability to perform CLM system configuration, creating test scripts, testing, and deployment activities.
 </li>
 <li>
 Experience implementing and driving value from advanced AI modules, including agentic and autonomous capabilities, within major CLM platforms.
 </li>
 <li>
 Proven track record in facilitating client workshops, conducting stakeholder interviews, and translating business needs into technical solutions.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to assess complex business challenges and recommend actionable solutions.
 </li>
 <li>
 Excellent verbal and written communication skills, with the ability to present findings and recommendations to both technical and non-technical audiences.
 </li>
 <li>
 Ability to work collaboratively in a team environment and manage multiple priorities in a fast-paced consulting setting.
 </li>
 <li>
 Ability to perform job responsibilities within a hybrid work model that requires professionals to co-locate in person 2-3 days per week in respective office locations.
 </li>
 <li>
 Willingness to travel for client engagements as required.
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Experience supporting legal teams or procurement teams with contract management.
 </li>
 <li>
 Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others
 </li>
 <li>
 Experience with template rationalization and harmonization, guide or playbook creation, and the design of the contracting processes
 </li>
 <li>
 One of the following active accreditations obtained, in process, or willing and able to obtain:
 </li>
 <ul>
 <li>
 Licensed CPA in state of practice/primary office if eligible to sit for the CPA.
 </li>
 <li>
 If not CPA eligible:
 </li>
 <ul>
 <li>
 Licensed Attorney (or foreign equivalent)
 </li>
 <li>
 Enrolled Agent
 </li>
 <li>
 PMP (Project Management Certification)
 </li>
 <li>
 Contract &amp; Commercial Management (CCM) Certification Program
 </li>
 <li>
 Certified Financial Analyst (CFA)
 </li>
 <li>
 PMI Agile Certified Practitioner (Project Management Institute-ACP)
 </li>
 <li>
 Certified Change Management Professional (CCMP)
 </li>
 <li>
 Certified Business Analysis Professional (CBAP)
 </li>
 <li>
 Procurement/Legal Procurement or SAS&reg; Certified Data Scientist
 </li>
 <li>
 Paralegal Certification with a 4-year degree
 </li>
 <li>
 Technical Certifications:
 </li>
 <ul>
 <li>
 Six Sigma (Black Belt and Green Belt)
 </li>
 <li>
 Microsoft Certified Solutions Developer (MCSD) Contract &amp; Commercial Management (CCM) Certification Program, PMI Agile Certified Practitioner (Project Management Institute-ACP)
 </li>
 <li>
 Certified Systems Engineering Professional (CSEP)
 </li>
 <li>
 The Information Systems Security
 </li>
 <li>
 Architecture Professional (CISSP-ISSAP)
 </li>
 <li>
 Certified Change Management Professional (CCMP) or SAS&reg; Certified Data Scientist
 </li>
 <li>
 DocuSign (Workflow Manager, E-signature, CLM, etc.)
 </li>
 <li>
 Icertis
 </li>
 <li>
 Onit Product Suite (Level 2 and above)
 </li>
 <li>
 Conga CLM
 </li>
 <li>
 Agiloft
 </li>
 <li>
 Sirion Labs
 </li>
 <li>
 Kira
 </li>
 <li>
 Thomson Reuters (Legal Tracker, High Q, or Contract Express),
 </li>
 <li>
 Wolters Kluwer Passport (Passport Legal Spend and Matter Management),
 </li>
 <li>
 Mitratech Team Connect and TAP
 
 </li>
 </ul>
 </ul>
 </ul>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is RANGE.
 
 
 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
 
 
 Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 318198
</div>

Consultant-TTC- Sirion - Hyderabad/Bengaluru/Gurugram/Pune/Chennai/Mumbai/Kolkata

Johnson & Johnson MedTech

<div>
 At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
 
 
 
 Job Function
 
 
 
 Data Analytics &amp; Computational Sciences
 
 
 
 Job Sub Function
 
 
 
 Business Intelligence
 
 
 
 Job Category
 
 
 
 Professional
 
 
 
 All Job Posting Locations:
 
 
 
 Pune, Maharashtra, India
 
 
 
 Job Description
 
 
 
 
 Job Description- Sr. Analyst - Data &amp; Analytics
 
 
 
 We are seeking a highly motivated Sr Analyst to join our team of analytics experts in the MedTech Commercial Data &amp; Analytics team. The candidate will primarily work on shaping the data architecture, implement data engineering solutions and support data quality/management for global commercial data lake. This role is also responsible for operations and driving efficiencies. Candidate should be a strong team player and have a consultative approach to problem solving.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Engage and collaborate with business stakeholders to gather and analyze their requirements and translate them into technical specifications for data solutions.
 </li>
 <li>
 Design and construct effective and reliable data engineering solutions with end-to-end project responsibility by closely liaising with business analytics and visualization team
 </li>
 <li>
 Implement data quality checks and testing protocols to ensure the accuracy and reliability of data. Perform integration tests for data pipelines and frameworks, ensuring all elements are rigorously vetted prior to deployment
 </li>
 <li>
 Collaborate with data management teams to ensure right metadata management and data lineage
 </li>
 <li>
 Manage and own weekly, monthly and quarterly data operations activities with necessary due diligence; develop solutions to improve data quality
 </li>
 <li>
 Identify continuous improvement opportunities for the data solutions with focus on performance, scalability and maintainability
 </li>
 <li>
 Maintain high standards for insight generation, data quality, reporting, and timely project execution
 </li>
 <li>
 Communicate, at scale, through multiple mediums &ndash; presentations, dashboards, data-sets and more
 </li>
 <li>
 Maintain documentation on data architecture, solutions and processes
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 A Bachelors&rsquo; degree in computer science, engineering or equivalent is required
 </li>
 <li>
 5+ years working experience in any data engineering and analytics related roles
 </li>
 <li>
 5+ Years of advanced SQL skills
 </li>
 <li>
 2+ Years of Python development experience
 </li>
 <li>
 3+ years experience with Data Modeling
 </li>
 <li>
 Experience analyzing data to discover opportunities and address gaps independently.
 </li>
 <li>
 5+ years experience in custom ETL design, implementation and maintenance.
 </li>
 <li>
 Experience working with cloud platform (i.e. AWS, Azure, or similar)
 </li>
 <li>
 Experience with SQL performance tuning and E2E process optimization.
 </li>
 <li>
 Experience managing cloud infrastructures is preferred
 </li>
 <li>
 Exposure to data science landscape is a plus.
 </li>
 <li>
 Global experience a plus
 </li>
 <li>
 Proven ability to work collaboratively with colleagues across functional areas to deliver results
 </li>
 <li>
 Effective communication &amp; presentation skills. Growth mindset to learn across breadth and depth of technology stacks.
 
 
 </li>
 </ul>
 Johnson &amp; Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
 
 
 
 Required Skills
 
 
 
 
 Preferred Skills:
 
 
 
 Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Integration, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Management Systems Implementation, Problem Solving, Process Oriented, Project Management, Statistical Analysis Systems (SAS) Programming, Workflow Analysis
</div>

Sr. Analyst - Data & Analytics

Valkyrie People Consulting

<div>
 
 
 Job Title:
 
 Data Analyst
 
 
 
 Location:
 
 Pune, India
 
 
 
 Industry:
 
 Automotive
 
 
 
 Experience:
 
 3+ years of experience in data analysis, preferably within the automotive or manufacturing sector.
 
 
 
 Position Overview:
 
 
 
 The Data Analyst will be responsible for gathering, analyzing, and interpreting data to help the automotive company improve its operations, optimize supply chains, enhance customer satisfaction, and make informed business decisions. This role requires a strong background in data analysis techniques and tools, as well as a solid understanding of the automotive industry. The Data Analyst will work closely with cross-functional teams, including operations, marketing, sales, and finance, to provide insights that drive business performance and efficiency.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Collect, clean, and manage data from various sources, including production data, sales data, customer feedback, and supply chain metrics.
 </li>
 <li>
 
 Data Analysis:
 
 Analyze large datasets to identify trends, patterns, and correlations. Use statistical tools to interpret data and provide actionable insights for process improvement and business decisions.
 </li>
 <li>
 
 Performance Monitoring:
 
 Develop and monitor key performance indicators (KPIs) related to production efficiency, sales performance, customer satisfaction, and other business operations.
 </li>
 <li>
 
 Reporting &amp; Visualization:
 
 Create clear and concise reports, dashboards, and visualizations to communicate findings to business leaders and stakeholders.
 </li>
 <li>
 
 Predictive Analytics:
 
 Use predictive modeling and machine learning techniques to forecast demand, optimize inventory levels, and identify potential issues in production or supply chains.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with production, supply chain, sales, and marketing teams to identify opportunities for efficiency improvements and support data-driven decision-making processes.
 </li>
 <li>
 
 Market &amp; Customer Analysis:
 
 Analyze customer behavior and market trends to help improve product offerings, marketing strategies, and customer engagement.
 </li>
 <li>
 
 Automation &amp; Process Improvement:
 
 Identify opportunities to automate repetitive data collection and reporting tasks, streamlining processes and improving data accuracy.
 </li>
 <li>
 
 Quality Control:
 
 Ensure the accuracy and reliability of data by conducting regular audits and validation checks.
 </li>
 </ul>
 
 
 Qualifications &amp; Requirements:
 
 
 <ul>
 <li>
 Proven experience as a Data Analyst or in a similar role, preferably in the automotive or manufacturing industry.
 </li>
 <li>
 Proficiency in data analysis tools such as Excel, SQL, Python, R, or other relevant software.
 </li>
 <li>
 Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
 </li>
 <li>
 Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
 </li>
 <li>
 Familiarity with automotive industry trends, supply chain processes, and production metrics is a plus.
 </li>
 <li>
 Excellent analytical and problem-solving skills, with a keen eye for detail.
 </li>
 <li>
 Ability to communicate complex data insights clearly to non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field. A Master&rsquo;s degree or relevant certifications is an advantage.
 </li>
 </ul>
 
 
 Personal Attributes:
 
 
 <ul>
 <li>
 Results-driven with a strong focus on delivering data-driven insights that impact business performance.
 </li>
 <li>
 Strong communication skills, able to translate data findings into actionable recommendations.
 </li>
 <li>
 Detail-oriented with a focus on accuracy and data integrity.
 </li>
 <li>
 Ability to work effectively in a team environment and manage multiple tasks simultaneously.
 </li>
 <li>
 Passion for the automotive industry and eagerness to stay updated on new data technologies and trends.
 </li>
 </ul>
</div>

Data Analyst

Umanist NA

<div>
 
 Senior AWS Data Engineer,078
 
 
 
 
 Location:
 
 Pune, India (Hybrid &ndash; 3 days onsite)
 
 
 
 Experience:
 
 6&ndash;12 years
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Salary Range:
 
 INR 22,00,000 &ndash; 28,00,000 per annum
 
 
 
 Status:
 
 Active
 
 
 Role Overview
 
 
 We are seeking a
 
 Senior AWS Data Engineer
 
 to design, develop, and optimize scalable big data solutions. This role involves close collaboration with project leads and stakeholders to translate complex business requirements into robust, end-to-end technical solutions. You will play a key role throughout the project lifecycle, from architecture design to production deployment, while mentoring junior engineers and ensuring delivery of high-quality solutions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and develop scalable, high-performance big data pipelines
 </li>
 <li>
 Collaborate with stakeholders to gather, analyze, and refine technical requirements
 </li>
 <li>
 Translate business requirements into end-to-end data engineering solutions
 </li>
 <li>
 Lead projects from design through development and production deployment
 </li>
 <li>
 Optimize Spark jobs and SQL queries for performance and scalability
 </li>
 <li>
 Implement and maintain CI/CD pipelines for data engineering workflows
 </li>
 <li>
 Mentor and guide junior engineers, ensuring best practices and quality delivery
 
 
 </li>
 </ul>
 Technical Skills
 
 
 <ul>
 <li>
 Strong expertise in Python, PySpark, and Spark architecture, including performance tuning
 </li>
 <li>
 Advanced proficiency in SQL, with a strong focus on query optimization
 </li>
 <li>
 Extensive experience with AWS data engineering services:
 </li>
 <ul>
 <li>
 AWS Glue
 </li>
 <li>
 AWS Lambda
 </li>
 <li>
 Amazon S3
 </li>
 <li>
 API Gateway
 </li>
 </ul>
 <li>
 Good working knowledge of Unix/Linux environments
 </li>
 <li>
 Hands-on experience with CloudFormation and CI/CD pipelines (preferred)
 
 </li>
 </ul>
 
 Required Experience (Must-Have)
 
 
 
 <ul>
 <li>
 Python / PySpark: 6+ years
 </li>
 <li>
 AWS Data Services (Glue, Lambda, API Gateway, S3): 6+ years
 </li>
 <li>
 SQL Optimization and Performance Tuning: 6+ years
 </li>
 <li>
 Spark Architecture and Distributed Processing: 6+ years
 </li>
 <li>
 Unix/Linux Environments: 3+ years
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with Infrastructure as Code (CloudFormation)
 </li>
 <li>
 Exposure to CI/CD tools and automated deployment pipelines
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 <li>
 Ability to work in a fast-paced, dynamic environment
 </li>
 <li>
 Proven capability to deliver results within tight timelines
 
 
 </li>
 </ul>
 Interview Process
 
 
 <ul>
 <li>
 2 Technical Rounds
 </li>
 <li>
 1 Stakeholder/Client Interaction Round
 
 
 </li>
 </ul>
 Skills: pyspark,spark architecture,linux,sql,api gateway,amazon s3,aws glue,aws lambda,python
</div>

Senior AWS Data Engineer

DoorDash

<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 58+ Nlp data scientist in Pune this January. Find roles across top companies and apply now to boost your career.