Open position
Senior Analytics Engineer
Job Id ED-SA-01
Job Profile and Responsibilities
Responsibilities:
- Interface with clients across geographies and business verticals to understand high-level as well as detailed project requirements, business objectives, and core business problems to provide actionable and implementable solutions.
- Develop solution architecture to extract, transform, and load (ETL/ELT) data, build orchestration frameworks, and manage end-to-end data warehousing and data management solutions to answer complex business questions.
- Manage client communication, meetings, documentation, and feedback loops. Generate and communicate data insights and project results to clients across multiple domains (Ecommerce, Telecom, BFSI, Pharmaceuticals, Manufacturing, Media, Sports, etc.), taking complete ownership to delight clients at every touchpoint.
- Lead and manage team members, showing resourcefulness to design, implement, and deliver solutions with impeccable quality.
Should have hands-on experience in one or more of the following:
- Programming & Full-Stack Development: Python, PySpark, SQL, Node.js, React.js
- ETL, Orchestration & Pipelines: Airflow, dbt, Fivetran, Talend, Glue, Apache ecosystem tools
- Databases, Warehouses & Storage: BigQuery, Redshift, Snowflake, Databricks, Data Lake, RDS, MongoDB, Cassandra, Neo4j, Vector DBs
- Cloud Platforms: AWS, GCP, MS Azure, OCI, Databricks, Snowflake
- AI, Machine Learning & GenAI: LLMs, RAG, AI Agents, Vector DBs, Computer Vision, Speech Engineering, Spatial Modeling
- Business Intelligence & Visualization: Tableau, Microsoft Power BI, Qlik Sense, Domo, Looker, Metabase
- CI/CD & DevOps: Git, Jenkins, GitLab CI, Docker, Kubernetes, Terraform, CloudFormation
- Monitoring & Logging: Prometheus, Grafana, ELK
- APIs & Integration: REST/SOAP APIs, Microservices architecture
Desired Candidate Profile:
- Ability to lead a team and manage projects independently.
- Eye for detail, passion for accuracy.
- Great analytical and problem-solving skills.
- Ability to adapt and thrive in a fast paced and demanding environment of a young start-up.
Open position
Lead Analytics Engineer
Job Id DE-LA-01
Job Profile and Responsibilities
About This Role:
As a Lead Analytics Engineer, you will be responsible for architecting, designing, and implementing advanced data platforms, AI/ML pipelines, and analytics solutions that drive critical business insights for clients across global geographies and industry verticals. You will act as the technical authority for multiple data engineering and AI projects, guiding teams in best practices for data architecture, DataOps, and governance. This role demands a combination of hands-on expertise, strategic client advisory, and the ability to translate complex business objectives into scalable, high-performance data solutions.
You will collaborate closely with clients, data engineers, data scientists and internal leadership to ensure delivery of robust, secure, and high-performance data platforms that empower analytics and decision-making.
Key Responsibilities:
- Client Advisory & Stakeholder Management: Interface with clients across global geographies and business verticals (Ecommerce, Telecom, BFSI, Pharmaceuticals, Manufacturing, Media, Sports, etc.) to understand business objectives, translate requirements, and deliver actionable, implementable solutions.
- Solution & Data Architecture: Design and own scalable, secure, and high-performance data architectures across cloud (AWS, GCP, Azure, OCI), multi-cloud, and hybrid environments.
- Data Engineering & ETL Pipelines: Architect and manage robust ETL/ELT pipelines, orchestration frameworks, and modern data warehousing solutions across cloud platforms, Databricks, Snowflake, and Apache environments.
- Advanced AI & GenAI Solutions: Drive large-scale AI solution architecture, including GenAI/LLM-driven AI Agents, Retrieval-Augmented Generation (RAG) workflows, Vector DBs, and specialized AI/ML models (Computer Vision, Speech Engineering, Spatial Modeling).
- DataOps & DevOps Implementation: Define and implement DataOps, DevOps, and CI/CD frameworks to ensure automation, testing, monitoring, and high availability of data workflows.
- Full-Stack & Visualization Oversight: Oversee full-stack data application development (Python, PySpark, Node.js, React.js) and Business Intelligence dashboard creation (Tableau, Power BI, Looker, Domo, Qlik Sense, Metabase).
- Leadership & Team Mentorship: Mentor and guide a team of data engineers and analysts; perform code reviews, enforce engineering best practices, and cultivate technical excellence.
- End-to-End Ownership: Take complete ownership of projects, manage technical documentation and delivery timelines, and delight clients at every touchpoint through impeccable solution delivery and clear communication.
Skills Required:
- Programming & Full-Stack Development: Python, PySpark, SQL, Node.js, React.js
- ETL, Orchestration & Pipelines: Airflow, dbt, Fivetran, Talend, Glue, Apache ecosystem tools
- Databases, Warehouses & Storage: BigQuery, Redshift, Snowflake, Databricks, Data Lake, RDS, MongoDB, Cassandra, Neo4j, Vector DBs
- Cloud Platforms: AWS, GCP, MS Azure, OCI, Databricks, Snowflake
- AI, Machine Learning & GenAI: LLMs, RAG, AI Agents, Vector DBs, Computer Vision, Speech Engineering, Spatial Modeling
- Business Intelligence & Visualization: Tableau, Microsoft Power BI, Qlik Sense, Domo, Looker, Metabase
- CI/CD & DevOps: Git, Jenkins, GitLab CI, Docker, Kubernetes, Terraform, CloudFormation
- Monitoring & Logging: Prometheus, Grafana, ELK
- APIs & Integration: REST/SOAP APIs, Microservices architecture
Desired Candidate Profile:
- 5+ years of experience in Data Engineering, with at least 2–3 years in a technical leadership or architecture role.
- Proven ability to lead teams, manage clients, and deliver complex data solutions.
- Strong analytical, problem-solving, and communication skills.
- Eye for detail and passion for building efficient, reliable, and maintainable data systems.
- Ability to thrive in a fast-paced, client-focused environment.
- Cloud or Data Engineering certifications (AWS, GCP, Azure, Snowflake, Databricks).
Open position
HR Associate Manager (Recruitment)
Job Id RS-HR-01
Job Profile and Responsibilities
Responsibilities:
- Work closely with stakeholders to understand specific talent needs for niche technical and other roles in IT/Analytics.
- Develop a comprehensive hiring approach using multiple channels and ensure timely and cost-effective hiring.
- Manage end to end recruitment activities from gathering the requisitions, sourcing, screening, interviews, offers, follow up with the candidates till they join.
- Gather job requisitions after discussing with stakeholders, manage job-posting on job portals like Naukri etc., social media like LinkedIn, Glassdoor etc. and liaise with external recruitment agencies.
- Source and screen potential candidates, conduct and manage HR and technical interviews.
- Manage offers, salary negotiation, joining and other related processes.
- Manage onboarding and other formalities including employee contracts, document validation etc.
- Manage end to end campus placement for freshers hiring, liaise with TPOs.
- As part of a fast-growing and demanding startup, you may need to contribute to other HR activities apart from recruitment and help HR Admin team as needed.
Should have proven experience in the following:
- Experience in managing end to end recruitment for technical roles in IT/Analytics industry.
- Experience in sourcing, screening, interviewing, negotiating, and onboarding potential candidates.
Desired Candidate Profile:
- Excellent communication skills, ownership, and accountability.
- Should have good understanding of technology.
- Able to hire the best talent, and to place the right people in the right job, using various sourcing channels.
Open position
Technical Project Coordinator
Job Id PC-AA-01
Job Profile and Responsibilities
Key Responsibilities
- Bridging the gap between Project Manager and Technical Team to meet project milestones.
- Collaborate with various departments to establish and communicate timely project targets. Review project deliverables and ensure that project deadlines are met.
- Maintaining internal databases and communicating project plans, project schedules, progress and project status to project manager.
- Co-Ordinate, organize and attend stakeholder meetings.
- Documenting and following up on important actions and decisions from meetings. Ensuring projects adhere to frameworks and all documentation is maintained appropriately for each project.
- Preparing necessary presentation materials for meetings.
- Providing administrative support as needed.
- Will undertake project management activities as directed by the project manager.
- Stay up to date on processes and relay relevant information to different teams in a timely manner.
Desired Candidate Profile:
- Exceptional written and oral communication.
- Must be a proactive, good team player, good learner, and self-starter.
- Must be self-driven with the ability to manage workload without direct supervision.
- Precision and attention to detail.
- An interest in Data Analytics, coupled with a willingness to keep up to date with industry trends.
Open position
Business Analyst
Job Profile and Responsibilities
Responsibilities:
- Understand client requirements, business operations, sales and marketing performances and recommend the best possible data analytics solutions.
- Continuously add value to client engagements by tracking their business metrics, identifying trends and patterns, identifying bottlenecks and areas for improvement.
- Take up various data modelling and statistical modelling including customer cohorts, segmentation, customer life-time value analysis, loyalty and promotional analysis, marketing ad spend analysis, price optimization, demand forecasting. inventory optimization etc.
- Translate high-level objectives the management and external clients provide into testable, measurable and functional specifications. Collaborate with data engineers, data scientists, and BI developers to draft solution architecture in response to the business requirements.
- Act as a liaison between business stakeholders and technical teams, ensuring clear and effective communication throughout the project lifecycle.
- Respond to questions and concerns from members from different departments with supporting research and recommendations.
Desired Candidate Profile:
- Experience in the data analytics domain, preferably in the e-commerce industry.
- Have in-depth knowledge of key business metrics across the functions and departments – sales, marketing, supply chain, accounting, finance etc.
- Good knowledge of data analytics technologies and services.
- Good knowledge of platforms like:
- CRM Platforms – Salesforce CRM, Netsuite CRM, Microsoft Dynamics 365 CRM, Hubspot, Zoho, Pipedrive etc
- ERP Platforms – Salesforce, Netsuite, Microsoft Dynamics 365, Fulfil, Workday, Epicor, Sage
- Ecommerce – Shopify, Woocommerce, BigCommerce
- Digital Marketing – Google Ads, Facebook Ads, LinkedIn Ads, Instagram Ads, Google AdWords, Google Analytics, Email marketing (Klaviyo, Mailchimp, ActiveCampaign etc)
- Project Management: Asana, Jira, Slack, Trello, Microsoft Planner
- Fostering an ownership mindset to connect with stakeholders and address issues. Ability to manage internal and external team to achieve end-goals.
- Familiarity with project methodologies (Agile and Scrum).
- Strong leadership and team management skills.
- Excellent written and oral communication.
- Good interpersonal and multi-tasking skills.
- Precision and attention to detail.
Open position
Senior ML Engineer
Job Id ML-SA-01
Designation: Senior Analyst
Experience: Candidate must have project experience in Speech Recognition and 2-3 years of relevant experience in any machine learning/deep learning/natural language processing/computer vision projects.
Job Location: Pune
Academics UG: B.E / B.Tech, PG: Post Graduation is not compulsory
Job Profile and Responsibilities
Responsibilities:
- Provide solution architecture and implement MVP/POC for machine learning (speech recognition/ natural language processing/ computer vision etc.) projects.
- Devise/enhance machine learning / deep learning algorithms and techniques for solving complex project requirements.
- Development of end-to-end machine learning pipeline including data extraction, automated labelling, training of deep learning model and deployment.
- Manage client and team communication, collaboration and facilitation including meetings, documentation and other processes.
- Lead and manage team members.
Must have hands-on experience in one or more of the followings:
- Hands-on experience in speech technologies like Automated Speech Recognition and Text to Speech.
- Exposure to any one or more of speech technology tools like HTK, Kaldi, Festival, CMUSphinx, Mozilla DeepSpeech etc.
- Expertise in Multilingual Speech Recognition systems, Speech Analytics and Voice Processing.
Good to have hands-on experience in one or more of the followings:
- Experience in Speech Recognition, Computer Vision, Image Processing, Natural Language Processing, Text Mining, Computational Genomics, Bioinformatics, other Machine Intelligence/Artificial Intelligence related areas.
- Expertise in machine learning frameworks like Tensorflow, PyTorch, Keras, Caffe, MXNet, Theano etc. and ability to work with frameworks like Tesseract, OpenCV, NLTK, Spacy, Scikit-Learn, Numpy, Pandas etc.
- Hands on experience in supervised machine techniques and algorithms, such as GLM, k-NN, Naive Bayes, SVM, Random Forests, Neural Networks etc. Hands-on experience in unsupervised machine learning techniques and algorithms, such as clustering algorithms, dimensionality reduction techniques.
- Ability to work effectively in a Linux environment, on cloud-based virtual machines and containers. Knowledge of DevOps practices/tools and Skills with architecting large- scale high performant distributed systems.
- Experience in CUDA programming, knowledge of hardware requirements for GPU acceleration (NVIDIA GPUs).
- Strong mathematical and statistical understanding.
Desired Candidate Profile:
- Excellent verbal as well as written communication.
- Ability to lead a team and manage projects independently.
- Eye for detail, passion for accuracy.
- Great analytical and problem-solving skill.
- Ability to adapt and thrive in a fast paced and demanding environment of a young start-up.
Open position
Lead Data Engineer
Job Profile and Responsibilities
About this role:
As a Lead Data Engineer, you will be responsible for architecting, designing, and implementing advanced data solutions that drive critical business insights for clients. You will act as the technical authority for multiple data projects, guiding teams in best practices for data architecture, engineering, and governance. This role demands a combination of hands-on expertise, strategic thinking, and the ability to translate complex business requirements into scalable data solutions.
You will collaborate closely with clients, data engineers, data scientists, analysts, and internal leadership to ensure delivery of robust, secure, and high-performance data platforms that empower analytics and decision-making.
Responsibilities:
- Design and own scalable, secure, and high-performance data architectures across
cloud and hybrid environments. - Lead end-to-end data engineering projects, from requirement analysis and design
to implementation and deployment. - Architect and manage robust ETL/ELT pipelines using modern orchestration and
CI/CD practices. - Define and implement DataOps and DevOps frameworks to ensure automation,
testing, and monitoring of data workflows. - Collaborate with clients, analysts, and data scientists to translate business
requirements into technical solutions. - Mentor and guide a team of data engineers; perform code reviews and enforce
engineering best practices. - Manage client communication, technical documentation, and project delivery timelines.
Skills Required:
- Programming: Python, PySpark, SQL
- ETL & Orchestration: Airflow, dbt, Fivetran, Talend, Glue
- Databases and Data Warehouse: BigQuery, Redshift, Data Lake, RDS, MongoDB,
Cassandra, Neo4j - Cloud Platforms: AWS, GCP, MS Azure, Databricks, Snowflake.
- CI/CD & DevOps: Git, Jenkins, GitLab CI, Docker, Kubernetes, Terraform,
CloudFormation. - Monitoring & Logging: Prometheus, Grafana, ELK
- APIs & Integration: Experience with REST/SOAP APIs and microservices.
Desired Candidate Profile:
- 5+ years of experience in Data Engineering, with at least 2–3 years in a technical leadership or architecture role.
- Proven ability to lead teams, manage clients, and deliver complex data solutions.
- Strong analytical, problem-solving, and communication skills.
- Eye for detail and passion for building efficient, reliable, and maintainable data systems.
- Ability to thrive in a fast-paced, client-focused environment.
- Cloud or Data Engineering certifications (AWS, GCP, Azure, Snowflake).
Open position
Senior Data Engineer
Job Profile and Responsibilities
Responsibilities:
- Interface with clients to understand high level as well as detailed project requirements and understand business problems.
- Develop solution architecture to extract, transform and load data and other required solutions to answer business questions, be responsible for end to end
data management. - Manage client communication and meetings, documentation and other processes.
Generate and communicate insights and project results to clients, seek and
incorporate feedback. - Lead and manage team members.
Should have hands-on experience in one or more of the followings:
- Programming in Python (frameworks and libraries like Pandas, Numpy,
SQLAlchemy, PySpark etc), Java, etc - Data ETL tools like Fivetran, Stitchdata, CloverDX, Alteryx etc.
- Proficiency and working knowledge of Talend.
- Management and operation on databases like MySQL, PostgreSQL, MS SQL,
MongoDB, Cassandra, Neo4j etc. - Cloud platforms like Amazon Web Services (EC2, Glue, Athena, RDS, Redshift,
EMR etc.), Google Cloud Platform (BigQuery, Cloud SQL etc.), MS Azure (ADF,
Datalake, Synapse, HDInsights etc.), Databricks, Snowflake etc. - Working with REST and SOAP APIs.
Desired Candidate Profile:
- Ability to lead a team and manage projects independently.
- Eye for detail, passion for accuracy.
- Great analytical and problem-solving skills.
- Ability to adapt and thrive in a fast paced and demanding environment of a young start-up.
Open position
Open position
Careers at Rudder Analytics
Do Your Best Work
on Problems That Matter
Join a tightly knit team of engineers, analysts and consultants working on real data and AI problems for businesses around the world. Small teams, direct context and ownership from the first conversation to measurable impact.
Solve together.
Learn in the work.Real responsibility.You see the full problem, not just one ticket.
The culture
High Ownership Without the Corporate Theatre
The work is demanding because the problems are real. But good work here is not about noise or hierarchy. It is about asking better questions, communicating clearly and taking responsibility for the outcome.
Curiosity over assumptions
Care about the business model as much as the model or code. Understanding why something matters often changes how it should be built.
Clarity over complexity
Strong technical thinking should become simple language, clear trade-offs and useful decisions for the people using the solution.
Ownership over hand-offs
Work spans discovery, architecture, implementation and impact measurement. Stay close enough to know whether the solution actually worked.
The work
Real Problems.
Not Theoretical Projects.
People move across industries, systems and problem types. New tools are part of the job, but the work stays anchored in business impact.
Understand the business problem
Start with the decision, constraint or operational pain rather than jumping straight to a tool.
Design the solution
Work through architecture, data models, reporting, ML or AI choices with people who own the outcome.
Build it properly
Engineering discipline matters: testing, documentation, quality, security and maintainability.
See the impact
Stay close enough to users to know whether what you built changed the way they work.
What you can expect
A Place to Compound Your Skills, Not Just Add Years to Your CV
Full-problem visibility
Understand requirements, architecture, implementation and results instead of being isolated to one task.
Client context
Work with stakeholders across geographies and understand the commercial context behind technical requirements.
Modern data & AI work
Build across cloud data platforms, BI, orchestration, ML, GenAI, RAG and agentic systems where they fit.
Cross-domain learning
Move between ecommerce, finance, operations, supply chain, healthcare and other business problem spaces.
Visible ownership
Teams are lean and responsibilities are clear, so your contribution does not disappear inside layers.
Room to lead
Grow into solution design, client communication, mentorship and project ownership as your judgement develops.
Open positions
Find Your Next Challenge
The hiring process
Clear Conversations. No Mystery Rounds.
Start with fit
The hiring team reviews your experience against the actual work and responsibilities of the role.
Understand each other
A conversation about your background, what you want next and how Rudder Analytics works.
Talk through real problems
Expect practical questions, trade-offs and problem solving relevant to the role rather than trivia.
Move with clarity
Final alignment on the role, expectations and whether this is the right next step for both sides.
Build with Rudder Analytics
Serious Problems Need People Who Care About the Outcome
If that sounds like the kind of work you want to do, explore the current openings and find the role that fits your next chapter.
See Open Positions