
Job Role: Data Engineer
Location: Mumbai, Andheri.
WFO(Monday-Friday)
Looking for Immediate, 15 days joiner.
Required Skills
• 3+ years of hands-on experience as a Data Engineer.
• Strong proficiency in Python and PySpark programming for data engineering tasks.
• In-depth knowledge of ETL processes and data pipeline architectures. • Experience with Airflow or Step Functions for orchestration and scheduling.
• Solid experience working with AWS services.
• Proficiency in building and maintaining CI/CD pipelines
. • Experience with data modelling, database design, and querying.
• Strong problem-solving skills, with the ability to troubleshoot and optimize complex data pipelines.
Bonus Skills
• Knowledge of cloud platforms (e.g., AWS, GCP).
• Experience with containerization and Kubernetes.
• Experience in data security, encryption, and compliance best practices.
• Strong communication and collaboration skills.
Responsibilities
• Design, build, and maintain scalable and efficient ETL/ELT pipelines to process large-scale datasets.
• Implement and manage workflow automation and orchestration using Apache Airflow or Step Functions.
• Build and optimize data infrastructure using AWS services.
• Integrate and manage data warehouses.
• Design and develop dynamic and interactive dashboards using PowerBI, Metabase, and Superset, to present insights.
• Develop and maintain CI/CD pipelines for seamless deployment and continuous integration of data solutions.
• Monitor and troubleshoot data pipeline issues, ensuring data quality and consistency.
• Leverage best practices for data governance, security, and compliance in cloud environments.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver reliable data solutions.

About Credilio Financial Technologies Pvt. Ltd.
About
Credilio is founded with the idea of digitizing the distribution value chain of personal finance products. The mission of Credilio is to create a nationwide army of multi-branded trained advisors who can assist in the digital onboarding of loans and cards. Credilio enables a small financial advisor to educate customers and recommend lending products that are best suited to meet their unique requirements and further enables them to subscribe for credit cards or loans digitally.
The company does this by providing a large range of product offerings and a customized recommendation tool through a simple mobile app that empowers advisors to be truly digital and future-ready. In addition, the platform allows for instant online approval by leveraging open banking APIs of Banks and NBFCs, thus making the purchase process transparent and paperless. It has reduced the average prospecting-to-onboarding time to less than 10 minutes in a single session as compared to the industry average of an interrupted process over 2-3 days.
A challenger start-up, Credilio is the brainchild of second-time entrepreneurial duo Mr. Aditya Gupta and Mr. Anand Kapadia. It’s backed by a clutch of Venture Capital funds namely Cornerstone Venture Capital Partners, Exfinity Venture Partners, and Param Capital founder Mukul Agarwal.
The platform currently partners with 20+ leading Banks and NBFCs and has over 10,000 Financial Advisors who have assisted more than 0.5 million customer applications getting processed fully digitally in a span of less than a year. The capital raised will power Credilio’s ambitious plans to meet an ARR of 100 cr. by March 2023 and serve 25 million customers through a million advisors in the next 3 years.
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We are a growing software solutions company focused on providing innovative CRM and business automation products to clients across industries. Join our dynamic sales team and start your career in tech-driven sales!
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We are looking for an enthusiastic Sales Executive to promote our software solutions and generate leads. The ideal candidate should have good communication skills, confidence while speaking with clients, and a keen interest in technology and sales.
Key Responsibilities
- Make outbound calls to prospective clients to introduce our software products.
- Understand client needs and explain relevant software features and benefits.
- Maintain a database of leads and follow up systematically.
- Schedule product demos for the sales team.
- Achieve daily/weekly call and lead targets.
Required Skills
- Excellent verbal communication in English and Hindi.
- Basic computer knowledge (MS Office, CRM tools preferred).
- Strong persuasion and listening skills.
- Positive attitude and willingness to learn.
Qualifications
- Minimum: 12th pass / Graduate in any discipline.
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Job Types: Full-time, Permanent, Fresher
Work Location: In person
Job Responsibilities
- Develop and maintain reusable components and front-end libraries for future use.
- Translate designs and wireframes into high-quality, responsive UI components.
- Optimize components for maximum performance across different browsers and devices.
- Implement ReactJS best practices using Hooks, HOCs, and Functional Components.
- Manage state efficiently using Redux/Flux.
- Collaborate with backend developers to integrate REST APIs.
- Debug and test applications using Mocha & Jest.
- Ensure code quality, maintainability, and scalability using modern front-end tools.
Required Skills & Qualifications
✔ 3+ years of experience in ReactJS development.
✔ Strong knowledge of JavaScript, DOM, JSX.
✔ Hands-on experience with React Hooks, HOCs, and Functional Components.
✔ Expertise in ES6+ concepts (Arrow functions, Destructuring, Spread/Rest operators, Classes, Import/Export).
✔ Experience in HTML, CSS, and responsive design.
✔ Familiarity with REST APIs and integrating backend services.
✔ Experience with state management (Redux/Flux).
✔ Strong debugging skills using Mocha & Jest for performance testing.
✔ Hands-on experience with Git, Webpack, Babel, NPM.
Good to Have:
➕ Experience with backend development (Java, Microservices).
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Job Title: Full Stack Architect
Location: Hyderabad, India
Experience: 15Years to 20 years (4+ years in Enterprise Architecture)
Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.
Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning
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Roles and Responsibilities
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React, Node.js).
Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.
Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.
Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.
Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.
Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.
Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.
Mentorship: Mentor junior engineers and foster a collaborative team environment.
Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.
Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.
Mandatory Requirements
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in building and architecting applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Proven track record of architecting and implementing large-scale
distributed systems with a focus on reliability, scalability, and performance.
Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),
with a deep understanding of cloud services such as compute, storage, networking, and
security.
Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like
Neo4j. Experience with vector databases for high-dimensional data processing.
Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs
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Data Structures & Algorithms: Strong knowledge of DSA with practical experience in
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Microservices Architecture: Experience in designing and developing microservices-based
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Nice-to-Have Requirements
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Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.
Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).
AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.
Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.
System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.
Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).
Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.
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