2725 Lead Data Science Positions jobs in Bengaluru
Delivery Lead-Data Science
Posted today
Job Viewed
Job Description
Job Purpose
As a key member of our Data Science team, you will be responsible for developing innovative AI & ML solutions
across diverse business domains. This includes designing, implementing, and optimizing advanced analytics models
to address complex business challenges and drive data-driven decision making. Your core responsibility will be to
extract actionable insights from large datasets, develop predictive algorithms, and create robust machine learning
pipelines. You will collaborate closely with cross-functional teams including business analysts, software engineers,
and product managers to understand business requirements, define problem statements, and deliver scalable
solutions. Additionally, you'll be expected to stay current with emerging technologies and methodologies in the AI/ML
landscape to ensure our technical approaches remain cutting-edge and effective.
Desired Skills And Experience
Demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep
learning techniques.
Proficiency in programming languages such as Python data analysis and model development.
Proficiency in cloud platforms, such as Azure, Azure Data Factory, Snowflake, Databricks.
Experience with data manipulation, cleaning, and preprocessing using pandas, NumPy, or equivalent libraries.
Strong knowledge of SQL and experience working with various database systems and big data technologies.
Proven track record of developing and deploying machine learning models in production environments.
Experience with version control systems (e.g., Git) and collaborative development practices.
Proficiency with visualization tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI.
Strong mathematics background including statistics, probability, linear algebra, and calculus.
Excellent communication skills with ability to translate technical concepts to non-technical stakeholders.
Experience working in cross-functional teams and managing projects through the full data science lifecycle.
Knowledge of ethical considerations in AI development including bias detection and mitigation techniques.
Key Responsibilities
Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine
learning techniques.
Design, develop and implement advanced machine learning models and algorithms to solve business problems
and drive data-driven decision making.
Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and
accuracy.
Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical
solutions.
Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and
robustness.
Present findings, visualizations, and recommendations to stakeholders in clear, accessible formats tailored to
technical and non-technical audiences.
Stay current with the latest advancements in machine learning, deep learning, and statistical methods through
continuous learning and research.
Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions.
Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of
implemented solutions.
Document methodologies, procedures, and results thoroughly to ensure reproducibility and knowledge transfer
within the organization
Lead Data Science Consultant
Posted today
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Job Description
Summary:
Sciente Group is a multi-award winning, ISO9001/Great Place to Work certified, Singapore headquartered technology focused organisation with business interest in Singapore (HQ), USA, Malaysia, Philippines and India.
We are looking for a hands-on Senior Data & AI Consultant with an aptitude for building Data pipelines and SQL , AI/ML models . This role, based in Bangalore (India) , will focus on solutioning, pre-sales support and delivering scalable data pipelines, enabling ML workflows, and ensuring platform governance for enterprise-grade Data & AI solutions proposed to APAC/USA clients.
Responsibilities:
- Participate in pre-sales support, client PoC development , solution demos, and project schedule/scoping of implementation rollouts.
- Design and implement enterprise-grade data pipelines and ML workflows .
- Build and maintain SQL-based transformations , automated recipes, and flow orchestration with scenarios.
- Integrate external Python/R code into DSS projects for advanced analytics use cases.
- Collaborate with data scientists, analysts, and engineering teams for scalable solution delivery.
- Enable and maintain governance, access control , and compliance frameworks .
- Monitor performance of deployed models, pipelines, and Dataiku server resources.
- Overseas travels as required for short assignments/on-site client meetings.
Experience & Skills:
Data Management:
3 to 7 years of hands-on experience in designing, building, and managing end-to-end data pipelines and ML workflows , including visual recipes, Python/R code recipes, scenario automation, and model deployment.
SQL & Data Pipeline Engineering:
Strong command of SQL for data transformation, preparation, and advanced joins/aggregation. Proven experience in building high-volume, optimized ETL/ELT pipelines across structured and semi-structured data.
AI/ML Model Building:
Experience in developing and deploying machine learning models , integrating with internal/external Python libraries, feature engineering, model performance monitoring, and retraining workflows.
Data Governance & Platform Management:
Understanding of governance best practices (project security, roles, versioning, lineage, audit logging, and reusable flow zones).
Cloud Ecosystem Experience:
Working knowledge of integration with platform like AWS (S3/EMR/SageMaker) /Databricks/Snowflake/Denodo .
Soft Skills:
Good communication skills with clients and stakeholders.
Educational Background:
- Bachelor’s or Master’s degree in Computer Science, Information Technology or a related field.
Good To Have:
- Work experience in Dataiku, Denodo is highly desired.
- Experience with CI/CD practices , Git integration , and DevOps automation .
- Exposure to data catalog, lineage tracking , or metadata management .
- Familiarity with building solutions for financial services and insurance sectors.
- Knowledge of visualization tools integrated with Dataiku/Denodo (Tableau, Power BI, etc.).
Only shortlisted candidates meeting mandatory pre-requisites shall be notified.
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
Lead Data Science Architect
Posted today
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Job Description
Licious is a fast-paced, innovative D2C brand revolutionizing the meat and seafood industry in India. We leverage cutting-edge technology, data science, and customer insights to deliver unmatched quality, convenience, and personalization. Join us to solve complex problems at scale and drive data-driven decision-making!
Role Overview:
We are seeking a Lead Data Scientist with 6+ years of experience to build and deploy advanced ML models (LLMs, Recommendation Systems, Demand Forecasting) and generate actionable insights. You will collaborate with cross-functional teams (Product, Supply Chain, Marketing) to optimize customer experience, demand prediction, and business growth.
Key Responsibilities:
1. Machine Learning & AI Solutions:
- Develop and deploy Large Language Models (LLMs) for customer support automation, personalized content generation, and sentiment analysis.
- Enhance Recommendation Systems (collaborative filtering, NLP-based, reinforcement learning) to drive engagement and conversions.
- Build scalable Demand Forecasting models (time series, causal inference) to optimize inventory and supply chain.
2. Data-Driven Insights:
- Analyze customer behavior, transactional data, and market trends to uncover growth opportunities.
- Create dashboards and reports (using Tableau/Power BI) to communicate insights to stakeholders.
3. Cross-Functional Collaboration:
- Partner with Engineering to productionize models (MLOps, APIs, A/B testing).
- Work with Marketing to design hyper-personalized campaigns using CLV, churn prediction, and segmentation.
4. Innovation & Scalability:
- Stay updated with advancements in GenAI, causal ML, and optimization techniques.
- Improve model performance through feature engineering, ensemble methods, and experimentation.
Qualifications:
- Education: BTech/MTech/MS/Ph.D. in Computer Science, Statistics, or related fields.
- Experience: 6+ years in Data Science, with hands-on expertise in:
- LLMs (GPT, BERT, fine-tuning, prompt engineering).
- Recommendation Systems (matrix factorization, neural CF, graph-based).
- Demand Forecasting (ARIMA, Prophet, LSTM, Bayesian methods).
- Python/R , SQL, PySpark, and ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Cloud platforms (AWS/GCP) and MLOps tools (MLflow, Kubeflow).
Content & Instruction Lead – Data Science
Posted today
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Job Description
Experience :- 3-5 Years
Location: Gurugram (Onsite)
As a Content & Instruction Lead, you will play a dual role—leading content team and
teaching live batches. You will design, review, and deliver cutting-edge Data Science
learning experiences while mentoring both learners and the content team.
This is an opportunity to combine your Data Science expertise, leadership ability, and
passion for teaching to make a lasting impact on learners across India.
What We're Looking For
● Experience: 3–5 years in
Data Science teaching, training, and content creation.
● Expertise in: Python, SQL, Machine Learning, Statistics, NLP, Deep Learning, Data
Visualization.
● Curriculum Design experience with projects, problem-solving assignments, and
industry-relevant case studies.
● Education: Degree in Computer Science, Data Science, or related fields preferred
(practical experience also valued).
● Skills: Strong communication, mentoring ability, leadership, and a passion for
impactful teaching.
Lead/Sr. Lead Data Science & AI - R01549779
Posted today
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Job Description
Director, Data Science & AI
Primary Skills
- Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
Specialization
- Data Science Foundation: Senior Data Scientist
Job requirements
- Mandatory skills
- LLM application development and fine-tuning
- Agentic AI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)
- RAG patterns and enterprise knowledge integration
- Prompt design, tool integration, and orchestration
- Roles and Responsibilities
- Key Responsibilities
- Autonomous Task Execution: Initiate and complete multi-step tasks across platforms (e.g., CRM, ERP, cloud services).
- Decision-Making: Analyze data and make informed decisions aligned with organizational goals.
- Process Optimization: Identify inefficiencies and propose improvements using real-time analytics.
- Knowledge Management: Research, synthesize, and present information to support strategic initiatives.
- Customer Interaction: Engage with users via chat, email, or voice to resolve queries and escalate issues when necessary.
- Learning & Adaptation: Continuously improve performance based on feedback and outcomes.
- Compliance & Ethics: Operate within defined ethical, legal, and organizational boundaries.
- Required Capabilities
- Natural Language Understanding and Generation
- Autonomous Workflow Management
- Integration with APIs, databases, and enterprise tools
- Real-time analytics and decision-making
- Reinforcement learning or feedback-based adaptation
- Preferred Training Data / Knowledge Domains
- Business operations (sales, marketing, HR, finance)
- Customer service and support
- Technical documentation and product knowledge
- Organizational policies and compliance frameworks
- Performance Metrics
- Task completion rate and accuracy
- Decision quality and impact
- User satisfaction scores
- Learning velocity and adaptability
- Ethical compliance rate
Not a Bar for right fit
Cloud Lead (Data Science)-GCP & Martech Solutions
Posted 2 days ago
Job Viewed
Job Description
At Jellyfish we believe that our individual differences are our greatest assets. We are passionate about empowering every employee to reach their full potential and contribute their unique perspectives to our collaborative environment. We are an equal opportunity employer and firmly believe that a diverse and inclusive workforce drives innovation and leads to better solutions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal characteristics that make them who they are.
Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.
Job Description
Reporting to our VP, we are looking for a Cloud Director . You will be positioned within the growing Cloud team, working with Google Cloud Platform to deliver secure, robust, and scalable data engineering solutions that improve digital marketing performance.
Your primary responsibilities will include:
- Design and implement cloud architectures for data migration, infrastructure setup, and provisioning on GCP.
- Lead the development and optimization of scalable ETL/ELT pipelines using GCP tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
- Manage the ingestion and transformation of data from various sources into usable formats for analytics and modelling.
- Ensure data pipelines and storage systems are high-performing, scalable, and cost-efficient, including query optimization in BigQuery.
- Establish and enforce robust data governance practices to maintain accuracy, consistency, and security across platforms.
- Automate workflows for monitoring data quality, pipeline execution, reporting, and scaling infrastructure.
- Collaborate with cross-functional teams to ensure data accessibility and usability for specific analytical and operational needs.
- Provide mentorship to junior engineers, sharing expertise and promoting a culture of continuous learning and collaboration.
- Research and implement new technologies to improve data architecture on GCP.
Qualifications
- Have one or more Google Cloud Platform (GCP) technical certifications.
- Hands-on experience with GCP services, including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, and Cloud Run.
- Proficient in designing and deploying cloud infrastructure tailored to marketing use cases.
- Familiarity with APIs and datasets from ad and martech platforms such as Meta, Google Marketing Platform, and Salesforce Marketing Cloud.
- Advanced skills in SQL and Python for data processing, automation, and orchestrating pipelines.
- Demonstrated expertise in building and managing large-scale ETL/ELT pipelines, covering both real-time streaming and batch processing.
- Knowledge of data warehousing principles, cloud-based architectures, and optimizing performance in BigQuery or equivalent platforms.
- Experience enhancing data infrastructure for both cost efficiency and high performance on GCP.
- A forward-looking mindset focused on creating adaptable and robust data solutions.
- Understanding of server-side tagging (e.g., sGTM) is a plus but not mandatory.
Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English.
Additional information
Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.
Reward: You'll be eligible to join our discretionary annual bonus scheme.
Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.
Growth, Your Way: Grow your career with one paid day each month for self-development and access to Jellyfish Learn with unlimited online courses.
Jellyfish contributes to your retiral benefits via Provident Fund (PF) contribution
Health Insurance:Jellyfish provides best in class group medical insurance & life insurance cover to employees
Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to
Cloud Lead (Data Science)-GCP & Martech Solutions
Posted today
Job Viewed
Job Description
Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.
Job Description
Reporting to our VP, we are looking for a Cloud Director . You will be positioned within the growing Cloud team, working with Google Cloud Platform to deliver secure, robust, and scalable data engineering solutions that improve digital marketing performance.
Your primary responsibilities will include:
Design and implement cloud architectures for data migration, infrastructure setup, and provisioning on GCP.
Lead the development and optimization of scalable ETL/ELT pipelines using GCP tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
Manage the ingestion and transformation of data from various sources into usable formats for analytics and modelling.
Ensure data pipelines and storage systems are high-performing, scalable, and cost-efficient, including query optimization in BigQuery.
Establish and enforce robust data governance practices to maintain accuracy, consistency, and security across platforms.
Automate workflows for monitoring data quality, pipeline execution, reporting, and scaling infrastructure.
Collaborate with cross-functional teams to ensure data accessibility and usability for specific analytical and operational needs.
Provide mentorship to junior engineers, sharing expertise and promoting a culture of continuous learning and collaboration.
Research and implement new technologies to improve data architecture on GCP.
Qualifications
Have one or more Google Cloud Platform (GCP) technical certifications.
Hands-on experience with GCP services, including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, and Cloud Run.
Proficient in designing and deploying cloud infrastructure tailored to marketing use cases.
Familiarity with APIs and datasets from ad and martech platforms such as Meta, Google Marketing Platform, and Salesforce Marketing Cloud.
Advanced skills in SQL and Python for data processing, automation, and orchestrating pipelines.
Demonstrated expertise in building and managing large-scale ETL/ELT pipelines, covering both real-time streaming and batch processing.
Knowledge of data warehousing principles, cloud-based architectures, and optimizing performance in BigQuery or equivalent platforms.
Experience enhancing data infrastructure for both cost efficiency and high performance on GCP.
A forward-looking mindset focused on creating adaptable and robust data solutions.
Understanding of server-side tagging (e.g., sGTM) is a plus but not mandatory.
Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English.
Additional information
Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.
Reward: You'll be eligible to join our discretionary annual bonus scheme.
Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.
Growth, Your Way: Grow your career with one paid day each month for self-development and access to Jellyfish Learn with unlimited online courses.
Jellyfish contributes to your retiral benefits via Provident Fund (PF) contribution
Health Insurance:Jellyfish provides best in class group medical insurance & life insurance cover to employees
Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to
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Cloud Lead (Data Science)-GCP & Martech Solutions
Posted today
Job Viewed
Job Description
At Jellyfish we believe that our individual differences are our greatest assets. We are passionate about empowering every employee to reach their full potential and contribute their unique perspectives to our collaborative environment. We are an equal opportunity employer and firmly believe that a diverse and inclusive workforce drives innovation and leads to better solutions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal characteristics that make them who they are.
Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.
Job Description
Reporting to our VP, we are looking for a Cloud Director . You will be positioned within the growing Cloud team, working with Google Cloud Platform to deliver secure, robust, and scalable data engineering solutions that improve digital marketing performance.
Your primary responsibilities will include:
- Design and implement cloud architectures for data migration, infrastructure setup, and provisioning on GCP.
- Lead the development and optimization of scalable ETL/ELT pipelines using GCP tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
- Manage the ingestion and transformation of data from various sources into usable formats for analytics and modelling.
- Ensure data pipelines and storage systems are high-performing, scalable, and cost-efficient, including query optimization in BigQuery.
- Establish and enforce robust data governance practices to maintain accuracy, consistency, and security across platforms.
- Automate workflows for monitoring data quality, pipeline execution, reporting, and scaling infrastructure.
- Collaborate with cross-functional teams to ensure data accessibility and usability for specific analytical and operational needs.
- Provide mentorship to junior engineers, sharing expertise and promoting a culture of continuous learning and collaboration.
- Research and implement new technologies to improve data architecture on GCP.
Qualifications
- Have one or more Google Cloud Platform (GCP) technical certifications.
- Hands-on experience with GCP services, including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, and Cloud Run.
- Proficient in designing and deploying cloud infrastructure tailored to marketing use cases.
- Familiarity with APIs and datasets from ad and martech platforms such as Meta, Google Marketing Platform, and Salesforce Marketing Cloud.
- Advanced skills in SQL and Python for data processing, automation, and orchestrating pipelines.
- Demonstrated expertise in building and managing large-scale ETL/ELT pipelines, covering both real-time streaming and batch processing.
- Knowledge of data warehousing principles, cloud-based architectures, and optimizing performance in BigQuery or equivalent platforms.
- Experience enhancing data infrastructure for both cost efficiency and high performance on GCP.
- A forward-looking mindset focused on creating adaptable and robust data solutions.
- Understanding of server-side tagging (e.g., sGTM) is a plus but not mandatory.
Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English.
Additional information
Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.
Reward: You'll be eligible to join our discretionary annual bonus scheme.
Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.
Growth, Your Way: Grow your career with one paid day each month for self-development and access to Jellyfish Learn with unlimited online courses.
Jellyfish contributes to your retiral benefits via Provident Fund (PF) contribution
Health Insurance:Jellyfish provides best in class group medical insurance & life insurance cover to employees
Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to
Cloud Lead (Data Science)-GCP & Martech Solutions
Posted today
Job Viewed
Job Description
At Jellyfish we believe that our individual differences are our greatest assets. We are passionate about empowering every employee to reach their full potential and contribute their unique perspectives to our collaborative environment. We are an equal opportunity employer and firmly believe that a diverse and inclusive workforce drives innovation and leads to better solutions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal characteristics that make them who they are.
Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.
Job Description
Reporting to our VP, we are looking for a Cloud Director . You will be positioned within the growing Cloud team, working with Google Cloud Platform to deliver secure, robust, and scalable data engineering solutions that improve digital marketing performance.
Your primary responsibilities will include:
- Design and implement cloud architectures for data migration, infrastructure setup, and provisioning on GCP.
- Lead the development and optimization of scalable ETL/ELT pipelines using GCP tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
- Manage the ingestion and transformation of data from various sources into usable formats for analytics and modelling.
- Ensure data pipelines and storage systems are high-performing, scalable, and cost-efficient, including query optimization in BigQuery.
- Establish and enforce robust data governance practices to maintain accuracy, consistency, and security across platforms.
- Automate workflows for monitoring data quality, pipeline execution, reporting, and scaling infrastructure.
- Collaborate with cross-functional teams to ensure data accessibility and usability for specific analytical and operational needs.
- Provide mentorship to junior engineers, sharing expertise and promoting a culture of continuous learning and collaboration.
- Research and implement new technologies to improve data architecture on GCP.
Qualifications
- Have one or more Google Cloud Platform (GCP) technical certifications.
- Hands-on experience with GCP services, including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, and Cloud Run.
- Proficient in designing and deploying cloud infrastructure tailored to marketing use cases.
- Familiarity with APIs and datasets from ad and martech platforms such as Meta, Google Marketing Platform, and Salesforce Marketing Cloud.
- Advanced skills in SQL and Python for data processing, automation, and orchestrating pipelines.
- Demonstrated expertise in building and managing large-scale ETL/ELT pipelines, covering both real-time streaming and batch processing.
- Knowledge of data warehousing principles, cloud-based architectures, and optimizing performance in BigQuery or equivalent platforms.
- Experience enhancing data infrastructure for both cost efficiency and high performance on GCP.
- A forward-looking mindset focused on creating adaptable and robust data solutions.
- Understanding of server-side tagging (e.g., sGTM) is a plus but not mandatory.
Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English.
Additional information
Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.
Reward: You'll be eligible to join our discretionary annual bonus scheme.
Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.
Growth, Your Way: Grow your career with one paid day each month for self-development and access to Jellyfish Learn with unlimited online courses.
Jellyfish contributes to your retiral benefits via Provident Fund (PF) contribution
Health Insurance:Jellyfish provides best in class group medical insurance & life insurance cover to employees
Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to
Cloud lead (data science)-gcp & martech solutions
Posted today
Job Viewed