data scientist

business data analyst

data analyst

data analyst senior

data engineer

data architect

Tech Mahindra

<div>
 
 We are seeking a highly skilled professional who can
 
 design, implement, and optimize enterprise data architecture
 
 while also
 
 developing end-to-end technology solutions
 
 aligned with business objectives. This hybrid role combines
 
 data architecture expertise
 
 with
 
 solution design leadership
 
 , ensuring robust, scalable, and secure systems that meet organizational needs.
 
 
 
 
 
 Exp : 10+yrs
 
 
 Location: Pan India
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Architecture
 
 
 <ul>
 <li>
 Design and maintain
 
 data models
 
 , schemas, and integration frameworks for structured and unstructured data.
 </li>
 <li>
 Develop and enforce
 
 Data Consulting
 
 ,
 
 data governance, security, and compliance standards
 
 .
 </li>
 <li>
 Optimize
 
 data storage, retrieval, and performance
 
 across cloud and on-prem environments.
 </li>
 <li>
 Lead
 
 data migration strategies
 
 , ETL processes, and data quality initiatives.
 </li>
 <li>
 Having experience into any Cloud (Azure / GCP / AWS)
 </li>
 <li>
 Proposing solutions to optimize existing
 
 data management architectures
 
 ;
 </li>
 <li>
 Developing technical solutions for data storage and management, including
 
 data warehouses
 
 and cloud-based systems
 </li>
 </ul>
 
 
</div>

Data Architect

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 Locations- Indore/Pune/Hyderabad/Bangalore
 
 
 
 
 
 
 We are looking for a
 
 AI/ML Developer
 
 to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing
 
 machine learning and generative AI models
 
 to solve real-world challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop and optimize
 
 ML, NLP, Deep Learning, and Generative AI
 
 models.
 
 
 &bull; Research and implement
 
 state-of-the-art algorithms
 
 for supervised and unsupervised learning.
 
 
 &bull; Work with
 
 large-scale datasets
 
 in distributed environments.
 
 
 &bull; Understand business processes to select and apply the best ML approaches.
 
 
 &bull; Ensure
 
 scalability and performance
 
 of ML solutions.
 
 
 &bull; Collaborate with cross-functional teams, including product owners, designers, and developers.
 
 
 &bull; Solve complex
 
 data integration
 
 and deployment challenges.
 
 
 &bull; Communicate results effectively using data visualization.
 
 
 &bull; Work in
 
 global teams
 
 across different time zones.
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 &bull; Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI
 
 .
 
 
 &bull; Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers
 
 .
 
 
 &bull; Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering
 
 .
 
 
 &bull; Proficiency in
 
 Python, R, or Scala
 
 for ML development.
 
 
 &bull; Knowledge of
 
 cloud-based ML platforms
 
 (AWS, Azure, GCP).
 
 
 &bull; Experience with
 
 big data processing
 
 (Spark, Hadoop, or Dask).
 
 
 &bull; Ability to scale ML models from
 
 prototypes to production
 
 .
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of
 
 ML and GenAI
 
 , we&rsquo;d love to hear from you!
 
</div>

Lead Data Scientist-Gen AI

Experian

<div>
 
 Company Description
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
 
 
 
 Job Description
 
 
 
 
 Job description
 
 
 
 We are looking for a
 
 Senior Software Developer
 
 with strong expertise in
 
 AWS cloud services
 
 ,
 
 batch processing
 
 , and
 
 data-related workflows
 
 . The ideal candidate should be proficient in one or more programming languages and have a strong Willingness to participate in professional development activities to stay current on industry knowledge as needed.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain data processing applications and batch workflows on AWS.
 </li>
 <li>
 Implement best practices for cloud architecture, security, and performance optimization.
 </li>
 <li>
 Collaborate with engineering managers, architects, and cross-functional teams to deliver high-quality solutions.
 </li>
 <li>
 Write clean, maintainable, and efficient code in one or more programming languages.
 </li>
 <li>
 Troubleshoot and resolve technical issues in production and development environments.
 </li>
 <li>
 Participate in code reviews and contribute to continuous improvement initiatives.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Education:
 </li>
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field (mandatory).
 </li>
 <li>
 Master's degree in Computer Science or related discipline (preferred).
 </li>
 </ul>
 <li>
 5+ years of experience in software development with a focus on data processing and cloud-based solutions.
 </li>
 <li>
 Strong knowledge of AWS services such as:
 </li>
 <ul>
 <li>
 S3, EC2, Lambda, Batch, Step Functions, Glue, EMR, and related data services.
 </li>
 </ul>
 <li>
 Hands-on experience with batch processing frameworks and ETL pipelines.
 </li>
 <li>
 Proficiency in one or more programming languages, such as:
 </li>
 <ul>
 <li>
 Java, Python, Scala, Go, C#, Node.js, or similar.
 </li>
 </ul>
 <li>
 Stay informed about relevant technology trends and developments new languages and technologies as required.
 </li>
 <li>
 Solid understanding of data architecture, distributed systems, and API development.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (e.g., Terraform, CloudFormation).
 </li>
 <li>
 Familiarity with big data technologies (e.g., Spark, Hadoop).
 </li>
 <li>
 Knowledge of data security and compliance standards.
 </li>
 <li>
 AWS certifications (e.g., AWS Certified Developer, AWS Solutions Architect).
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Senior Software Engineer

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Enterprise Performance
 
 
 
 Our Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to support the delivery of holistic performance improvement and digital transformation. We support Deloitte client service teams of strategic advisors and architects, differentiated by our industry depth to help collaborate with leading insights providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable the heart of business solutions.
 
 
 Position Summary
 
 
 
 Level:
 
 Consultant or equivalent
 
 
 As an experienced Consultant at Deloitte Consulting Services, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
 
 
 
 Work you&rsquo;ll do:
 
 
 
 As a Data Engineer, you architect, develop, and maintain data pipelines and backend systems across cloud and on-premises platforms, supporting analytics, reporting, and advanced GenAI/LLM applications. Leveraging skills in Python (including AWS Lambda and Glue jobs), PL/SQL, database administration, and GenAI-specific data processing, you&rsquo;re responsible for delivering clean, reliable, and well-governed data flows. Your work embeds standard validation, safety, and quality checks throughout pipelines, enabling enterprise-ready data at scale.
 
 
 
 The team:
 
 
 
 The Enterprise Performance team leverages deep industry knowledge, strong analytical skills, and practical approaches to address clients&rsquo; toughest business challenges. Our professionals as part of the Supply Chain Network Operations (SCNO) service line within Enterprise Performance focus on helping organizations achieve sustainable competitive advantage throughout their operations, spanning product development, planning, sourcing, manufacturing, logistics, and distribution. We excel at translating strategic objectives into tangible, measurable outcomes at the operational level. By aligning high-level goals with frontline execution, we ensure our clients realize real value and improved performance across every stage of their supply chain and operations.
 
 
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 4&ndash;7 years of experience in data engineering, Python (including Lambda/Glue), and database admin (with PL/SQL/SQL)
 </li>
 <li>
 Experience designing backend data flows and processing for GenAI or LLM applications (pipeline construction, cleaning, embedding/vectorization)
 </li>
 <li>
 Strong record building resilient, automated data systems with day-to-day operational safety woven in
 </li>
 <li>
 Proven ability to troubleshoot and optimize across data stack and collaborate cross-functionally
 </li>
 <li>
 Python: for AWS Lambda, Glue, custom parsing/transformation, GenAI data prep
 </li>
 <li>
 GenAI Data Ops: data cleaning, transformation, embedding &amp; vector store ingestion (Pinecone, FAISS, OpenSearch, etc.), RAG pipeline enablement
 </li>
 <li>
 ETL/ELT &amp; Orchestration: Apache Airflow, AWS Glue, batch/streaming
 </li>
 <li>
 DBA &amp; PL/SQL: Oracle, PostgreSQL, MySQL, SQL Server, Redshift, BigQuery, Snowflake (schema, tuning, PL/SQL, migration, admin)
 </li>
 <li>
 Programming/Scripting: Python, SQL, PL/SQL, Bash/PowerShell, Pyspark
 </li>
 <li>
 Best Practices: input validation, parameterized queries, logging, anomaly detection, documentation
 </li>
 <li>
 Cloud: AWS, GCP, Azure (core admin for pipeline/data processing/GenAI backend)
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 </li>
 <li>
 BE/B.Tech/M.C.A./M.Tech degree or equivalent from accredited university
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad/Pune/Chennai/Kolkata
 
 
 </li>
 </ul>
 
 Shift Timings:
 
 
 
 <ul>
 <li>
 11 AM to 8 PM or 2 PM to 11 PM IST as per business requirements
 
 
 </li>
 </ul>
 
 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: 318806
</div>

Data Engineer

<div>
 
 Company Description
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
 
 
 
 Job Description
 
 
 
 
 Role Overview
 
 
 
 We are seeking a highly skilled and experienced Senior Full-Stack Engineer to lead the design, development, and maintenance of robust, scalable applications for web, Android, or iOS platforms. You will work across the entire software stack, using modern cloud-native technologies to deliver high-quality, efficient software solutions. This role requires strong technical leadership and the ability to mentor junior engineers within a collaborative, cross-functional team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the entire software development lifecycle, from architectural design to deployment, for complex full-stack applications targeting multiple platforms (web, Android, iOS).
 </li>
 <li>
 Design, develop, and maintain high-performance backend services using Java and the Spring Boot framework.
 </li>
 <li>
 Build and maintain responsive, seamless user interfaces for web platforms using modern JavaScript frameworks (e.g., React or Angular).
 </li>
 <li>
 Develop user interfaces for mobile platforms (Android or iOS) using either native frameworks (e.g., Kotlin for Android, Swift for iOS) or cross-platform technologies (e.g., React Native).
 </li>
 <li>
 Leverage AWS services, including Lambda, ECS, S3, DynamoDB, and EKS, to create and manage scalable, cloud-native microservices and ensure efficient data storage and retrieval.
 </li>
 <li>
 Solve complex technical challenges by applying strong analytical and problem-solving skills.
 </li>
 <li>
 Ensure software quality and reliability by implementing unit and acceptance test automation.
 </li>
 <li>
 Provide technical leadership and mentorship to junior engineers, contributing to a culture of continuous learning and best practices.
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and deliver impactful software solutions.
 </li>
 <li>
 Stay current with emerging technologies and lead efforts to evaluate and integrate new tools and frameworks.
 </li>
 <li>
 Build and maintain CI/CD pipelines to support a streamlined development process across different platforms.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 12 to 14 years of experience in software development, including at least 2 years in a senior or lead position.
 </li>
 <li>
 Proven expertise in Java, AWS, Spring Boot, GraphQL, and cloud-native microservices.
 </li>
 <li>
 Strong hands-on experience developing front-end applications for at least one of the following platforms: web, Android (native or cross-platform), or iOS (native or cross-platform).
 </li>
 <li>
 Strong hands-on experience with AWS services, such as Lambda, ECS, S3, DynamoDB, and EKS.
 </li>
 <li>
 Strong experience with JavaScript/TypeScript, Node.js, and modern JS frameworks (e.g., React, Angular, etc.).
 </li>
 <li>
 Solid foundation in system design, scalability, performance optimization, and architectural best practices.
 </li>
 <li>
 Solid understanding of full-stack development, unit testing methodologies, and experience with acceptance test automation.
 </li>
 <li>
 Proven track record of building and maintaining CI/CD pipelines.
 </li>
 <li>
 Demonstrated experience as a Lead Architect, with expertise in mentoring, technical reviews, and modern engineering practices.
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Location Requirement
 
 
 
 This role is based in Hyderabad and follows a hybrid work model (2 days onsite per week).
 
 
 
 Qualifications
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in: Java, AWS, Microservices, Spring Boot, GraphQL,Frontend(web/iOS/Android) Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Preferred Certifications in AWS or other relevant technologies.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Senior Staff Engineer

Tide

<div>
 
 About Tide
 
 
 
 At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
 
 
 Tide is transforming the small business banking market with over 1.6 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money.
 
 
 
 Tide Facts
 
 
 
 <ul>
 <li>
 Tide is available for UK, Indian, German and French SMEs
 </li>
 <li>
 Over 1.6 million members: 800,000 UK and 800,000 in India and growing rapidly
 </li>
 <li>
 Over $200 million raised in funding
 </li>
 <li>
 Over 2500 Tideans globally - we&rsquo;re diversity champions!
 </li>
 <li>
 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, India
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a ML Engineer you&rsquo;ll be:
 
 
 <ul>
 <li>
 Working closely with product owners, other backend (Java &amp; Python) engineers, data scientist and other business members to translate requirements into well-engineered solutions
 </li>
 <li>
 Architect, design, test, implement, deploy, monitor and maintain end-to-end backend services. You build it, you own it mentality.
 </li>
 <li>
 Integrate already trained ML models in some of the services you develop.
 </li>
 <li>
 Work with people from other teams and departments on a day to day basis to ensure efficient project execution with a focus on delivering value to our members.
 </li>
 <li>
 Regularly aligning your team&rsquo;s vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 You have 4+ years of experience as a Backend Python Engineer (Senior/Lead)
 </li>
 <li>
 You have understanding of software engineering fundamentals (OOP, SOLID, etc.)
 </li>
 <li>
 You have hands-on experience with frameworks such as Django, FastAPI or Flask
 </li>
 <li>
 You have extensive experience integrating with or creating REST APIs
 </li>
 <li>
 You have experience with creating and maintaining CI/CD pipelines - we use GitHub Actions.
 </li>
 <li>
 You have experience with event-driven architectures
 </li>
 <li>
 You have experience with AWS
 </li>
 <li>
 (Great to have) Experience with Databricks, ML feature store solutions, Kafka (or other message brokers)
 
 
 </li>
 </ul>
 OUR TECH STACK
 
 (You don&rsquo;t have to excel in all, but willing to learn them):
 
 
 
 <ul>
 <li>
 Databricks on AWS
 </li>
 <li>
 Python Flask
 </li>
 <li>
 Snowflake
 </li>
 <li>
 Tecton - feature store
 </li>
 <li>
 Fiddler - model observability platform
 
 
 </li>
 </ul>
 
 What You Will Get In Return
 
 
 
 <ul>
 <li>
 Self &amp; Family Health Insurance
 </li>
 <li>
 Term &amp; Life Insurance
 </li>
 <li>
 OPD Benefits
 </li>
 <li>
 Mental wellbeing through Plumm
 </li>
 <li>
 Learning &amp; Development Budget
 </li>
 <li>
 WFH Setup allowance
 </li>
 <li>
 15 days of Privilege leaves
 </li>
 <li>
 12 days of Casual leaves
 </li>
 <li>
 12 days of Sick leaves
 </li>
 <li>
 3 paid days off for volunteering or L&amp;D activities
 </li>
 <li>
 Stock Options
 
 
 </li>
 </ul>
 
 Tidean Ways Of Working
 
 
 
 At Tide, we champion a
 
 flexible workplace
 
 model that supports both in-person and remote work to cater to the specific needs of our different teams.
 
 
 While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
 
 
 TIDE IS A PLACE FOR EVERYONE
 
 
 At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members&rsquo; diverse needs and lives.
 
 
 We are One Team and foster a transparent and inclusive environment, where everyone&rsquo;s voice is heard.
 
 
 
 At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone&rsquo;s voice is heard.
 
 
 
 
 Disclaimer
 
 
 
 It Has Come To Our Attention That Individuals Or Agencies Are Falsely Claiming To Represent Tide And Are Reaching Out To Candidates Regarding Job Opportunities. Please Be Aware That
 
 
 <ul>
 <li>
 Tide does not charge any fees at any stage of the recruitment process.
 </li>
 <li>
 All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
 </li>
 <li>
 Communication from Tide will only come from an official @tide.co email address.
 </li>
 <li>
 Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
 
 
 </li>
 </ul>
 
 If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
 
 
 Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
 
 
 
 
 
 Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
 
 
 
 
 
 
 Your personal data will be processed by Tide for recruitment purposes and in accordance with
 
 
 Tide's Recruitment Privacy Notice
 
 
 .
 
 
 
 
</div>

Senior Engineer, Python (Data & AI)

Amgen

<div>
 <ul>
 <li>
 Associate Data Management
 </li>
 <li>
 Job Description
 
 
 </li>
 </ul>
 
 Associate &ndash; Data Management, Marketing Data Hub (MDH)
 
 
 
 
 About Amgen
 
 
 
 Amgen harnesses the best of biology and technology to combat the world&rsquo;s toughest diseases and improve lives. For over 40 years, we&rsquo;ve led the biotechnology industry, using human genetic data and advanced technologies to discover, develop, manufacture, and deliver life-changing medicines for millions of patients worldwide.
 
 
 
 About The Role
 
 
 
 As an
 
 Associate, Data Management
 
 within Amgen&rsquo;s
 
 Marketing Data Hub (MDH)
 
 , you will be part of a global team that enables data-driven decision-making for Amgen&rsquo;s Commercial organization. You will support the execution of data management activities, collaborate with cross-functional teams, and help maintain the data platforms that power insights into prescriber and patient engagement.
 
 
 This is an excellent opportunity for early-career professionals passionate about data, analytics, and technology who want to build a strong foundation in commercial data management within the pharmaceutical industry.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Support Data-Enabling Features within Product Teams
 </li>
 <li>
 Assist in the execution and deployment of data-related features within Commercial Data Platform Product teams in alignment with Amgen&rsquo;s governance and standard operating procedures (SOPs)
 </li>
 <li>
 Participate in the Software Development Lifecycle (SDLC) by supporting requirements gathering, documentation, testing, and data validation
 </li>
 <li>
 Work with marketing and commercial datasets (e.g., marketing campaign data, HCP/Patient activity, IQVIA data, CRM systems) under guidance from senior team members
 </li>
 <li>
 Help maintain data pipelines, perform data quality checks, and support anomaly identification and resolution
 </li>
 <li>
 Collaborate with Technology teams to troubleshoot data issues and document findings for knowledge sharing
 </li>
 <li>
 Contribute to connected data products that enable marketing and analytics teams to derive meaningful insights
 </li>
 <li>
 Support Operational and Transition Activities
 </li>
 <li>
 Assist in operational data management tasks related to the insourcing of work at the Amgen India Innovation Center.
 </li>
 <li>
 Help maintain documentation, trackers, and repositories to ensure smooth handovers and ongoing operational efficiency
 </li>
 <li>
 Support the setup and execution of standard processes to maintain data consistency and traceability
 </li>
 <li>
 Collaborate Across Teams
 </li>
 <li>
 Work closely with global team members, including peers in the US, to ensure timely and high-quality delivery of assigned tasks
 </li>
 <li>
 Coordinate with cross-functional teams within the Data Management and Technology organization to support ongoing projects
 </li>
 <li>
 Contribute to team meetings, process discussions, and continuous improvement initiatives
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Any degree and 2&ndash;5 years of relevant data management in pharma industry
 </li>
 <li>
 Foundational understanding of data processes and data life cycle
 </li>
 <li>
 Good communication, teamwork, and problem-solving skills
 </li>
 <li>
 Strong written and spoken English
 
 
 </li>
 </ul>
 
 Functional Skills
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Exposure to pharma or commercial datasets, such as marketing, HCP/Patient activity, or CRM data
 </li>
 <li>
 Basic understanding of data management concepts (data quality, governance, metadata, lineage)
 </li>
 <li>
 Working knowledge of data analysis or scripting tools such as SQL, Python, or R
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Databricks) or a strong willingness to learn
 </li>
 <li>
 Ability to follow structured processes and maintain documentation accurately
 </li>
 <li>
 Eagerness to learn about end-to-end commercial data flows and modern data management practices
 
 
 </li>
 </ul>
 
 Good-to-Have
 
 
 
 <ul>
 <li>
 Experience working with analytics, marketing, or CRM systems (e.g., Salesforce, Datorama)
 </li>
 <li>
 Awareness of compliance, data privacy, and governance principles
 </li>
 <li>
 Exposure to Agile or Product Team environments
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong attention to detail and a proactive attitude
 </li>
 <li>
 Willingness to learn and take initiative under guidance
 </li>
 <li>
 Effective communication and teamwork in cross-functional, global settings
 </li>
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 Adaptability and resilience in a fast-paced environment
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Associate Data Management

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