Graphic Designer

• Strong UI/UX Designer profile, with a focus on Mobile Apps and Data-driven solutions
• Mandatory (Experience 1): Must have minimum 4+ years of experience in designing B2C mobile Apps, that show strong data visualization works (e.g., wearable tech, Fitness, Fin-Tech, or Health-tech apps)
• Mandatory (Experience 2): Should have designed mobile applications that display and interpret complex data (e.g., battery usage, health vitals, financial analytics)
• Mandatory (Portfolio): Strong Mobile App designs with complex Data-heavy designs (e.g., battery usage, health vitals, financials etc)
• Mandatory (Background): Must be from Top Design Institutes (e.g., NID, MIT, Design) OR from a Top-tier B2C product company with a high-quality mobile app design portfolio
• Mandatory (Company) - B2C Product Companies only (highly preferred - iOT Apps, Health Apps, Fin-Tech apps etc)
• Mandatory (Exclusion) - DONT want candidates who have mainly worked on catalog-based apps (like eCommerce, Quick Commerce etc)

Preferred Companies

• iOT Apps: likes of Ultrahuman, Ola Electric, BeatXP, HealthifyMe
• Data-centric B2C mobile products.: likes of Cred, JupiterMoney etc

Job title - Python developer

Exp – 4 to 6 years

Location – Pune/Mum/B’lore

PFB JD

Requirements:

• Proven experience as a Python Developer
• Strong knowledge of core Python and Pyspark concepts
• Experience with web frameworks such as Django or Flask
• Good exposure to any cloud platform (GCP Preferred)
• CI/CD exposure required
• Solid understanding of RESTful APIs and how to build them
• Experience working with databases like Oracle DB and MySQL
• Ability to write efficient SQL queries and optimize database performance
• Strong problem-solving skills and attention to detail
• Strong SQL programing (stored procedure, functions)
• Excellent communication and interpersonal skill

Roles and Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using pyspark
• Work closely with data scientists and analysts to provide them with clean, structured data.
• Optimize data storage and retrieval for performance and scalability.
• Collaborate with cross-functional teams to gather data requirements.
• Ensure data quality and integrity through data validation and cleansing processes.
• Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
• Stay up to date with industry best practices and emerging technologies in data engineering.

Our client is a Leading Indian consumer electronics start-up and is one of the fastest-growing start-ups. They have also emerged as the fifth largest wearable brand globally. They are super passionate about the impact that they are making in people’s lives and are looking for a fellow self-starter to join our ambitious bunch.

Responsibilities -

• Support analytics roadmap and strategy by ensuring that the landscape is mature, resilient, and flexible to meet the business requirements without deviating from the overall IT vision

• Collaborate with businesses to identify opportunities, and pain areas, incubate analytics product ideas and deliver analytics applications in a digital native manner

• Hold the analytics program together

• Manage the analytics vertical end to end from setting up a platform grounds (a data lake equivalent) and deliver business value through analytics for starters and gradually by bringing in intelligence in everything we do.

• Play a key role in transforming the company into an intelligent enterprise.

• Deliver analytics use cases that directly contributes to our top-line growth

• Be responsible for overall data hygiene, governance, monitoring of data pipelines and

continuously delivering business value through data

Requirements -

• 5 - 7 years experience in a similar role

• Bachelor’s degree in computer science/ analytics

• Master’s degree (business administration/equivalent) with a focus on Analytics, data science

• Good verbal and written communication skills

• Good networking skills

• Thrives in a dynamic, unstructured environment and transcends job boundaries and descriptions.

We are looking for candidates with experience in App Store Optimisation/Play store optimisation and SEO. This is to promote organic installs of mobile applications through Keyword Research, KPI tracking, Running experiments on Playstore. Ability to design graphics will be a plus. Ability to run facebook/google ads will be a plus.

This is a part time, remote role. It will require a commitment of 21 hours per week. 

We are a fast growing mobile app product company with several products running on the Playstore and are looking for enthusiastic candidates to join us.

Key Responsibilities:

• Owning the entire marketing framework, including developing nurture campaigns, email sequences, transactional emails, SMS Campaign On-Page marketing (such as banners, Pop-ups, and offer campaigns)
• Excellent in writing email SMS and on-page campaign copies.
• Good understanding of HTML for (Email campaign building)
• Working understanding of Marketing automation, customer communication journey. 
• Worked on Landing page creation (drag and drop builder forms)
• Identifying campaign trends/insights and analyzing results to help make informed decisions and program enhancements overtime
• Prioritizing tasks and managing multiple stakeholders and strands of work with a willingness to take on additional projects as needed.

Required Skills:

• Bachelor’s degree/MBA with equivalent experience of 2-4 years in Digital Marketing domain.
• Edu-tech and E-Commerce experience will be preferred.
• Experienced in campaign creation, journey building, lead nurturing, landing page optimiser.
• Familiar with Hubspot, Webengage, Clevertap, moengage is a plus.
• Extensive understanding of the digital marketing industry, best practices, user behaviour, and buyer’s psychology.
• Understanding
• Understanding of Marketing Tools such as Email, SMS, Push etc.
• A dynamic candidate who can adopt new techniques quickly.
• Strong understanding of social media marketing techniques.
• Ability to analyze metric data and convey recommendations appropriately to supervisors.
• Self-motivated, detail oriented and able to prioritize daily work efficiently.
• Effective Analytical skills.