
Intro
Our data and risk team is the core pillar of our business that harnesses alternative data sources to guide the decisions we make at Rely. The team designs, architects, as well as develop and maintain a scalable data platform the powers our machine learning models. Be part of a team that will help millions of consumers across Asia, to be effortlessly in control of their spending and make better decisions.
What will you do
The data engineer is focused on making data correct and accessible, and building scalable systems to access/process it. Another major responsibility is helping AI/ML Engineers write better code.
• Optimize and automate ingestion processes for a variety of data sources such as: click stream, transactional and many other sources.
- Create and maintain optimal data pipeline architecture and ETL processes
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Develop data pipeline and infrastructure to support real-time decisions
- 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 to assist with data-related technical issues and support their data infrastructure needs.
What will you need
• 2+ hands-on experience building and implementation of large scale production pipeline and Data Warehouse
• Experience dealing with large scale
- Proficiency in writing and debugging complex SQLs
- Experience working with AWS big data tools
• Ability to lead the project and implement best data practises and technology
Data Pipelining
- Strong command in building & optimizing data pipelines, architectures and data sets
- Strong command on relational SQL & noSQL databases including Postgres
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Big Data: Strong experience in big data tools & applications
- Tools: Hadoop, Spark, HDFS etc
- AWS cloud services: EC2, EMR, RDS, Redshift
- Stream-processing systems: Storm, Spark-Streaming, Flink etc.
- Message queuing: RabbitMQ, Spark etc
Software Development & Debugging
- Strong experience in object-oriented programming/object function scripting languages: Python, Java, C++, Scala, etc
- Strong hold on data structures & algorithms
What would be a bonus
- Prior experience working in a fast-growth Startup
- Prior experience in the payments, fraud, lending, advertising companies dealing with large scale data

About Rely
About
What we do
Rely is a buy now pay later' service that enables customers to buy what they want today and split the purchase amount into three payments, due every month. The service entails zero interest and no extra fees for the customer and we partnering with leading retailers to provide this to millions of customers across Asia.
Features:
https://www.straitstimes.com/business/banking/local-fintech-rely-raises-seven-figure-sum
Why we do
At Rely, we are building a payment experience that helps millions of people be effortlessly in control of their spending. It's all about giving everyone the power to take back control of their spending.
Our impact is when we take away all the painful mistakes and worry over falling prey to the debt trap, wasting their hard earned money on compounding interest and confusing and complicated financial jargons.
We wrap all this up in a genuinely enjoyable experience so everyone can worry less and enjoy life's best moments.
How we do
We use data and technology to improve everything related to helping our customers be responsible spenders. Using our proprietary decision engine, we harnesses the power of artificial intelligence and machine learning to help us make the right decision based on thousands of data points.
We believe the people who work with us will make the biggest difference in achieving our mission. Be part of our team of change makers!
Why Explore a Career at Rely
- Best Workplace environment. Wework Embassy Golflinks, Bangalore
- You will get to work in a dynamic and fast paced environment.
- Use the latest technologies to solve problems (ML, Devops, Data eng).
- Customer satisfaction comes first, create products which users love.
- Fast growing company with great colleagues.
Company video


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About Us: At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:
- AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
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We’re proud to be recognized by Google as a Top 20 AI Startup and are part of their 2024 Startups Accelerator: AI First Program, giving us access to cutting-edge technology, credits, and mentorship from industry leaders.
At LearnTube, we believe growth is a team sport. We’re a fast-moving, AI-first startup where:
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- Collaborate with Managers and other Engineers to help define, scope, and implement high-quality features that solve critical user needs.
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- Experience with building backend services. Strong algorithm and CS skills.
- 4+ years of experience designing and implementing large‐scale distributed systems.
- Experience with multiple programming languages (Java, Python) and data stores (MongoDB, MySQL, Redis, etc)
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- Work with performance-oriented teams driven by ownership and passion.
- Learn to design systems for high accuracy, efficiency, and scalability.
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- Meritocracy-driven, candid culture. No politics.
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About Tracxn
Tracxn (Tracxn.com) is a Bangalore-based product company providing a research and deal sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals working around the startup ecosystem. We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds like Andreessen Horowitz, Matrix Partners, GGV Capital, and Large Corporations such as Citi, Embraer & Ferrero.
Founders
- Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
- Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)
About Technology Team
Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure where almost everyone is actively involved in technical development and design activities. We have a team-centric culture where the ownership and responsibility of a feature or module lie with a team as compared to an individual.
We work on an array of technologies, including but not limited to Spring, Elastic Stack, Kafka, Mongo, MySQL, Redis, ReactJS, Next.js, Node, AWS Lambda, Ansible, etc.
We value ownership, continuous learning, consistency, and discipline as a team.
Lead Generation Specialist
Summary:
As a Lead Generation Specialist at [Company Name], you will play a crucial role in the growth and success of our business. You will be responsible for identifying and cultivating potential leads, nurturing relationships, and converting prospects into qualified sales opportunities.
Key Responsibilities:
Lead Identification:
- Research and identify potential leads through various channels, including online research, social media, industry-specific databases, and inbound inquiries.
- Utilize tools and software to gather and organize lead data effectively.
- Develop a deep understanding of our target audience and market segments.
Lead Nurturing:
- Initiate contact with leads through email, phone calls, and other communication methods.
- Engage with leads to understand their needs and challenges.
- Provide relevant information and resources to educate and nurture leads through the sales funnel.
Data Management:
- Maintain accurate and up-to-date records of lead interactions and status in CRM software.
- Segment and categorize leads for personalized outreach.
- Monitor lead data for quality and completeness.
Lead Qualification:
- Assess and qualify leads based on predefined criteria.
- Collaborate with the sales team to ensure seamless handover of qualified leads.
- Schedule appointments and product demonstrations for qualified prospects.
Reporting and Analysis:
- Generate regular reports on lead generation activities, including conversion rates, pipeline growth, and lead sources.
- Analyze data to identify trends and opportunities for optimization.
Qualifications:
· Bachelor's degree in Marketing, Business, or a related field.
· Proven experience in lead generation, preferably in a B2B or technology-related industry.
· Familiarity with lead generation tools and software, such as CRM systems and marketing automation platforms.
· Strong communication and interpersonal skills.
· Self-motivated with the ability to work independently and as part of a team.
· Excellent organizational and time management skills.
· Data-driven mindset with a focus on achieving targets and KPIs.
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Knowledge in MERN Stack is mandatory
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Work with development teams and product managers to ideate software solutions
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Design client-side and server-side architecture
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Conduct Testing & Debugging, utilize script tools & write basic codes for design specifications
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Build the front-end of applications through appealing visual design
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Develop and manage well-functioning databases and applications
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Write effective APIs
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Troubleshoot, debug and upgrade software
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Create security and data protection settings
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Build features and applications with a mobile responsive design
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Write technical documentation
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Work with data scientists and analysts to improve software
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- Building a pool of manpower sourcing vendors for potential hiring needs.
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- Designing and updating policies related to hiring, onboarding, probation, referral, exit etc.
What you need to have:
- B.Tech ( Mandatory)
- Experience of working in hyper-growth start-up ( Mandatory)
- Technology Hiring ( Mandatory)
- Strong track record in sourcing qualified candidates, market intelligence, mapping, negotiating offers, and influencing management decision-making.
- 3-5 years of experience in engagement/ talent development role, out of which at least 1 year in independently driving end-to-end recruitment.
- Hands-on hiring experience on niche skills, volume hiring and leadership hiring.
- Deep knowledge of sourcing specifically for skills like tech, product, data science, customer experience, digital marketing, lending etc.
- Working knowledge of various social media recruiting channels and should be aware of current market trends.
- Good command over documentation and process flowcharting using tools.
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- Excellent organizational skills and an ability to multi-task across concurrent projects with strong attention to detail.
- Proven ability to drive assignments on metrics using technology.
- Strong analytic skills/ comfort in data analysis, including MS Excel modelling & data manipulation skills and ability to manage reports & dashboards.
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- Excellent communicator having the ability to influence and persuade others.
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About the Company
Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!
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Your Role
Manage: As a leadership position, this requires long term strategic thinking. You will be in charge of daily operations of the data team. This would include running team standups, planning the execution of data generation and ensuring the algorithms are put in production. You will also be the person in charge to dumb down the data science for the rest of us who do not know what it means.
Love and Live Data: You will also be taking all the responsibility of ensuring that the data we generate is accurate, clean, and is ready to use for our clients. This would entail that you understand what the market needs, calculate feasibilities and build data pipelines. You should understand the algorithms that we use or need to use and take decisions on what would serve the needs of our clients well. We also want our Data Lead to be constantly probing for newer and optimized ways of generating datasets. It would help if they were abreast of all the latest developments in the data science and environmental worlds. The Data Lead also has to be able to work with our Platform team on integrating the data on our platform and API portal.
Collaboration: We use Clubhouse to track and manage our projects across our organization - this will require you to collaborate with the team and follow up with members on a regular basis. About 50% of the work, needs to be the pulse of the platform team. You'll collaborate closely with peers from other functions—Design, Product, Marketing, Sales, and Support to name a few—on our overall product roadmap, on product launches, and on ongoing operations. You will find yourself working with the product management team to define and execute the feature roadmap. You will be expected to work closely with the CTO, reporting on daily operations and development. We don't believe in a top-down hierarchical approach and are transparent with everyone. This means honest and mutual feedback and ability to adapt.
Teaching: Not exactly in the traditional sense. You'll recruit, coach, and develop engineers while ensuring that they are regularly receiving feedback and making rapid progress on personal and professional goals.
Humble and cool: Look we will be upfront with you about one thing - our team is fairly young and is always buzzing with work. In this fast-paced setting, we are looking for someone who can stay cool, is humble, and is willing to learn. You are adaptable, can skill up fast, and are fearless at trying new methods. After all, you're in the business of saving the planet!
Requirements
- A minimum of 5 years of industry experience.
- Hyper-curious!
- Exceptional at Remote Sensing Data, GIS, Data Science.
- Must have big data & data analytics experience
- Very good in documentation & speccing datasets
- Experience with AWS Cloud, Linux, Infra as Code & Docker (containers) is a must
- Coordinate with cross-functional teams (DevOPS, QA, Design etc.) on planning and execution
- Lead, mentor and manage deliverables of a team of talented and highly motivated team of developers
- Must have experience in building, managing, growing & hiring data teams. Has built large-scale datasets from scratch
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- Exceptional communication skills & ability to abstract away problems & build systems. Should be able to explain to the management anything & everything
- Quality control - you'll be responsible for maintaining a high quality bar for everything your team ships. This includes documentation and data quality
- Experience of having led smaller teams, would be a plus.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
passion for building and delivering great software with a strong sense of ownership.
- 4+ years of experience in building web applications using React, Node.js, GraphQL integrations with NoSQL or relational database systems.
- Working experience in building and deployment applications on AWS platform a plus.
- Working experience on docker and microservice a plus.
- Strong experience with Build and Release, Agile processes and Estimation/Planning
- Must have strong debugging and troubleshooting skills, with solid understanding of logging and exception handling.
- Must have 5-8 years of experience in handling data
- Must have the ability to interpret large amounts of data and to multi-task
- Must have strong knowledge of and experience with programming (Python), Linux/Bash scripting, databases(SQL, etc)
- Must have strong analytical and critical thinking to resolve business problems using data and tech
- Must have domain familiarity and interest of – Cloud technologies (GCP/Azure Microsoft/ AWS Amazon), open-source technologies, Enterprise technologies
- Must have the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Must have good communication skills
- Working knowledge/exposure to ElasticSearch, PostgreSQL, Athena, PrestoDB, Jupyter Notebook













