Data Scientist

Job Title: Data Analyst (AI/ML Exposure)

Experience: 1–3 Years

Location: Mumbai

Job Description:

We are looking for a Data Analyst with strong experience in data handling, analysis, and visualization, along with exposure to AI/ML concepts. The role involves working with structured and unstructured data (SQL, CSV, JSON), building data pipelines, performing EDA, and deriving actionable insights. Candidates should have hands-on experience with Python (Pandas, NumPy), data visualization tools, and basic knowledge of NLP/LLMs. Exposure to APIs, data-driven applications, and client interaction will be an added advantage.

Skills Required: Python, SQL, Data Analysis, EDA, Visualization, APIs

Apply: Share your resume or connect with us.

We are looking for an experienced Cloud & DevOps Engineer to join our growing team. The ideal candidate should have hands-on expertise in cloud platforms, automation, CI/CD, and container orchestration. You will be responsible for building scalable and secure infrastructure, optimizing deployments, and ensuring system reliability in a fast-paced environment.

Responsibilities

• Design, deploy, and manage applications on AWS / GCP.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD.
• Manage containerized workloads with Docker & Kubernetes.
• Implement Infrastructure as Code (IaC) using Terraform.
• Automate infrastructure and operational tasks using Python/Shell scripts.
• Set up monitoring & logging (Prometheus, Grafana, CloudWatch, ELK).
• Ensure security, scalability, and high availability of systems.
• Collaborate with development and QA teams in an Agile/DevOps environment.

Required Skills

• AWS, GCP (cloud platforms)
• Terraform (IaC)
• Docker, Kubernetes (containers & orchestration)
• Python, Bash (scripting & automation)
• CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
• Monitoring & Logging (Prometheus, Grafana, CloudWatch)
• Strong Linux/Unix administration

Preferred Skills (Good to Have)

• Cloud certifications (AWS, Azure, or GCP).
• Knowledge of serverless computing (AWS Lambda, Cloud Run).
• Experience with DevSecOps and cloud security practices.

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

• Hands-on experience in development of rest services using python
• Good knowledge Django or Flask framework
• Designing database tables and structures
• Skilled at optimizing large complicated SQL statements
• Knowledge of best practices when dealing with relational databases
• Proficient understanding of code versioning tools such as Git
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Experience in owning Code Quality and Code Review processes
• Good understanding of application debugging techniques
• Experienced in Agile methodologies
• Strong analytic, problem solving, and programming ability
• Initiative and drive to contribute
• Excellent organizational and task management skills
• Strong oral and written communication skills
• Ability to work in global cross-office teams

Additionally, we seek individuals with the following qualifications:

• Understanding of SEO and accessibility issues and how they relate to development
• Experience with NoSQL using MongoDB/Cassandra is a plus.
• Experience in working with Amazon Web Services (AWS) like S3, EMR, EC2 is preferred

We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.

Tools familiarity:  SQL, Python, Mix panel, Metabase, Google Analytics,  Clever Tap, App Analytics

Responsibilities

• Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
• Metrics alignment across teams to make them actionable and promote accountability
• Data based frameworks for assessing and strengthening Product Market Fit
• Identify viable growth strategies through data and experimentation
• Experimentation for product optimisation and understanding user behaviour
• Structured approach towards deriving user insights, answer questions using data
• This person needs to closely work with Technical and Business teams to get this implemented.

Skills

• 4 to 6 years at a relevant role in data analytics in a Product Oriented company
• Highly organised, technically sound & good at communication
• Ability to handle & build for cross functional data requirements / interactions with teams
• Great with Python, SQL
• Can build, mentor a team
• Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE

Eligibility

BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges

Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.

We are more interested in what you CAN DO than your location, education, or experience levels.

Send us your code samples / GitHub profile / published articles if applicable.

● Write Effective Codes In C++, Develop Software For Embedded Systems Based On STM32, NRF
● Support And Improve Existing Software
● Prepare Documentation For The Created Software. Qualifications
● Confident Knowledge Of C++ 17, Object-Oriented Programming, Embedded Software Development
● Proficiency With Microcontrollers Of The STM32 And / Or NRF Series
● Experience With RTOS
● Familiarity With Git, Linux
● Technical English
● Knowledge Of Python As An Advantage
● Any Experience With UAS \ UAV \ Drones is much appreciated

About RARA NOW :

• RaRa Now is revolutionizing instant delivery for e-commerce in Indonesia through data-driven logistics.

• RaRa Now is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimization technology. RaRa makes it possible for anyone, anywhere to get same-day delivery in Indonesia. While others are focusing on - one-to-one- deliveries, the company has developed proprietary, real-time batching tech to do - many-to-many- deliveries within a few hours. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan, and many more.

• We are a distributed team with the company headquartered in Singapore, core operations in Indonesia, and a technology team based out of India.

Future of eCommerce Logistics :

• Data driven logistics company that is bringing in same-day delivery revolution in Indonesia

• Revolutionizing delivery as an experience

• Empowering D2C Sellers with logistics as the core technology

About the Role :

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Prior experience on working on Big Query, Redshift or other data warehouses

Roles & Responsibilities:

The candidate is expected to create and lead a team of engineers and drive dev efforts for

Medibuddy and its various products.

The candidate will be part of the Engineering leadership team (IIT/IIM grads) and will help

strategise, execute product roadmap.

Work closely with Product and business teams to strategize or design the features and

product experiments.

Lead a team of 10+ Engineers [backend and/or mobile]

Responsible for engineering delivery in platform & product engineering pods at Medibuddy.

Scale the technology architecture, team and product to drive a 10x growth in next 12-24

months.

Code and Architect key features that form backbone of DocsApp

Conduct performance reviews and mentor and guide the team reporting

Drive adoption best engineering practices in the team and the organization

1. Deliver high quality, scalable and maintainable code at a fast pace.Skills & Qualifications:
2.  9+ yrs. relevant experience in consumer tech/ or SaaS space.
3. Tier 1 background (IIT/BITS/IIIT/NIT), Pass-out from 2014 batch or earlier.

Strong Technical Background: You have strong programming, architecture, DevOps and QA

chops. You should have experience working with a diverse engineering stack in a fast-paced

environment.

Biased toward action. You must be able to do more with less and turn would-be blockers into

opportunities for growth.

Balancing Short Term with Long Term - You have demonstrated strategic execution

balancing short term tactical execution with long term vision. You should be able to adapt

quickly as per the demands of the situation.

Efficient Execution - You must be persuasive, patient, compassionate and possess exquisite

prioritization skills.

Prior management and team-building experience. You'll be managing several direct reports

initially and will have the opportunity to scale and build out a high-performing engineering

team.

Stakeholder management - You complement product and business owners with finding the

right solutions in a timely manner.

Past entrepreneurial experience is a big plus.

Strong grasp of Nodejs/Python stack

Databases/Datastores : Mysql , Redis / Memcache , MongoDB

1. Basic Understanding of Android, iOS, Web Application stacks
2. One of SQS, RabbitMQ, SNS
3. Familiarity with AWS and its services including RDS, ECS, EBS, Cloudwatch, ELK, Redshift
   
   Nice to have -

Logging : ELK, Cloudwatch.

Frontend : html , css , Javascript

Protocols : HTTP, XMPP, MQTT, Socket.io, TCP