Business Development Executive

Snowflake Data Engineer

Job Description:

·        Overall Experience : 5+ years of experience in Snowflake and Python.

·        Experience of 5+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python.

·        Designing and creating data models that define the structure and relationships of various data elements within the organization. This includes conceptual, logical, and physical data models, which help ensure data accuracy, consistency, and integrity.

·        Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly. This may involve selecting appropriate integration technologies, developing ETL (Extract, Transform, Load) processes, and ensuring data quality during the integration process.

·        Create and maintain optimal data pipeline architecture.

·        Good knowledge of cloud platforms like AWS/Azure/GCP

·        Good hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities

·        Good knowledge of Python/Py Spark, advanced features of Python

·        Support business development efforts (proposals and client presentations).

·        Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.

·        Excellent leadership and interpersonal skills.

·        Eager to contribute to a team-oriented environment.

·        Strong prioritization and multi-tasking skills with a track record of meeting deadlines.

·        Ability to be creative and analytical in a problem-solving environment.

·        Effective verbal and written communication skills.

·        Adaptable to new environments, people, technologies, and processes

·        Ability to manage ambiguity and solve undefined problems.

AI-Native Full-Stack Engineer

Location: Pune, India (Onsite)

Experience: 2–5 years

Team: Engineering

If you're a fast-moving full-stack engineer with sharp problem-solving skills, deep web dev know-how, and a passion for using AI to ship smarter and faster — you might’ve just found your dream role.

About FlytBase

At FlytBase, we’re not just creating a product — we’re on a zero-to-one journey, building a whole new global category that’s never existed before.

We’re on a mission to unlock the world’s third dimension with fully autonomous drones. That means solving problems from first principles, embracing bold experimentation, and pushing the boundaries of what’s possible.

If you’re bored of cookie-cutter playbooks and ready for something fresh, exciting (and yes, involving drones), this is your place.

Don’t believe it? Challenge us — we’d love to show you why we’re so confident in what we’re building.

What You’ll Do

• Build from zero- Turn raw ideas into high-impact features — fast.
• Engineer with AI- Use AI to prototype, ship, debug, and iterate at blinding speed.
• Move across the stack- Work fluidly across UI, APIs, backend, services, and deployment.
• Think like a founder - You won’t be assigned tasks — you’ll own outcomes.

You’re a Great Fit If You...

• Are AI-native - You treat AI as a superpower, not a novelty.
• Ship relentlessly -You can out-ship most with one hand tied.
• Think problem-first - You pick tools for results — not popularity.
• Hate hand-holding - You own your sprints, your bugs, and your outcomes.
• Are built different - You don’t want a job. You want war. Legacy. Impact.

Our Stack

React? Rust? Firebase?

We don’t care what you’ve used — we care if you can:

• Learn fast
• Build faster
• Adapt even faster

You’ll use AI tools to go 5x faster than the average engineer — and still want to go faster.

Apply Now: https://lnk.ink/5uP0H

We’re in search of an experienced product manager to lead a multidisciplinary development team. The ideal candidate will have a keen eye for gaps in consumer product offerings and an innovative mindset for filling them. This person should be a highly skilled market analyst with a proven ability to strategize the full lifecycle of a product, from conception to release. We’re looking for a confident leader who can guide cross-functional teams in the creation of products that improve customer experience and grow market share.

Job Profile:

Location: Chennai/WFM

Experience: 8-10 yrs

Role and responsibility

• Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience, and drive growth.
• Create buy-in for the product vision both internally and with key external partners.
• Develop product pricing and positioning strategies.
• Translate product strategy into detailed requirements and prototypes.
• Scope and prioritize activities based on business and customer impact.
• Work closely with engineering teams to deliver quick time-to-market and optimal resources.
• Drive product launches including working with the public relations team, executives, and other product management team members.
• Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed.
• Act as a product evangelist to build awareness and understanding.
• Represent the company by visiting customers to solicit feedback on company products and services.

Skills and qualifications

• Bachelor’s or master’s degree in product design or engineering.
• Previous experience in software development will be added advantage.
• Rich experience in a dynamic product management role – 8-10 Years.
•  Should have work experience in Travel industry/booking industry- 5-6 Years.
• Proven success in overseeing all elements of the product development lifecycle.
• High effectiveness in managing cross-functional teams.
• Good writing skills (Product Feature, Requirement gathering, user story, etc), combined with strong presentation and public speaking skills.

About client:

Our client is the world’s largest media investment company. In fact, they are responsible for one in every three ads you see globally. In this role, you will be leading the advocacy narrative for a large cluster of brands for the largest FMCG organization in India.

BEST THINGS ABOUT THE JOB

1. Strategic Leadership Opportunities: As the Director of Product Marketing, you will play a pivotal role in shaping and driving the product marketing landscape for a leading consumer goods company. Your strategic insights and hands-on expertise will directly impact product marketing campaigns, contributing to the organization's growth and market dominance.

2. Transformational Role: In just three months, you'll immerse yourself in the product marketing landscape, and within a year, you'll lead process excellence, innovation, and collaboration. This dynamic progression will challenge you and provide a platform to showcase your capabilities in product marketing strategy.

3. Global Exposure and Collaboration: Working closely with global and APAC teams will allow you to collaborate across diverse markets, cultures, and strategies. Your insights will contribute to a cohesive global product marketing strategy, expanding your professional horizons.

4. Innovation and Creativity: The role offers the chance to introduce innovative product marketing strategies, technologies, and creative campaign approaches. Your ideas will drive exceptional results, ensuring that your creativity is recognized and celebrated.

5. Established Industry Leader: The FMCG brand is a market leader in the fast-moving consumer goods sector. Working with them means being a part of a company that values excellence, growth, and innovation. Your efforts will be instrumental in shaping the product marketing landscape for this industry giant.

REQUIRED EXPERIENCE

• You bring a proven track record of at least 8 years in product marketing, with progressively increasing responsibilities.

• Extensive hands-on experience with Google, Meta (Facebook, Instagram), Google Ads Data Hub, Snapchat, Spotify, and Programmatic Advertising platforms like The Trade Desk and DV 360.

• Working knowledge of Customer Data Platforms (CDP), Data Clean Rooms, First Party Data enhancement tools, and techniques.

REQUIRED COMPETENCIES

• Digital Marketing Expertise: Demonstrated expertise in digital marketing strategies, including SEO, SEM, social media, email marketing, content marketing, and more.

• Data Analysis: Proficiency in analysing data to derive actionable insights, track KPIs, and measure the effectiveness of campaigns. Experience with tools like Google Analytics, marketing 

automation platforms, and CRM systems.

• Process Optimization: Proven ability to design, implement, and optimize processes to improve efficiency and effectiveness. Knowledge of methodologies such as Lean, Six Sigma, or Agile is a plus.

• Project Management: Strong project management skills, including the ability to prioritize tasks, manage timelines, and ensure successful campaign execution within deadlines.

• Collaboration: Excellent communication and collaboration skills to work effectively with crossfunctional teams. Ability to lead, inspire, and influence team members to achieve common goals.

• Technical Proficiency: Familiarity with various digital marketing tools, software, and platforms, including advertising platforms, marketing automation software, and CMS systems.

• Effective Communication: Strong written and oral communication skills in English, with the ability to articulate ideas clearly and persuasively. You can communicate complex concepts to 

both technical and non-technical stakeholders.

• Extreme Ownership: You take full ownership of your projects, campaigns, and decisions, embracing accountability and driving results. Your proactive attitude ensures that challenges are 

met head-on.

• Strategic Thinking: You possess a strategic mindset, able to analyze the bigger picture and translate it into actionable digital marketing strategies that align with business goals.

• Innovative Mindset: Your creative thinking and willingness to explore new ideas contribute to the constant evolution of our digital marketing efforts.

• Proven work experience in product management or as an associate product manager
• Proven track record of managing all aspects of a successful product throughout its lifecycle
• Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management
• Solid technical background with understanding and/or hands-on experience in software development and web technologies
• Strong problem-solving skills and willingness to roll up one’s sleeves to get the job
• Skilled at working effectively with cross-functional teams in a matrix organization
• Excellent written and verbal communication skills
• MS/BS degree in Computer Science, Engineering or equivalent preferred

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology