
Job Description: Data Engineer (Fintech Firm)
Position: Data Engineer
Experience: 2-4 Years
Location: Mumbai-Andheri
Employment Type: Full-Time
About Us:
We are a dynamic fintech firm dedicated to revolutionizing the financial services industry through innovative data solutions. We believe in leveraging cutting-edge technology to provide superior financial products and services to our clients. Join our team and be a part of this exciting journey.
Job Overview:
We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines.
Key Responsibilities:
- Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources.
- Build and maintain efficient data pipelines to support real-time and batch data processing.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Optimize database performance and ensure data integrity and security.
- Troubleshoot and resolve data-related issues and provide support for data operations.
- Implement data quality checks and monitor data pipeline performance.
- Document technical solutions and processes for future reference.
Required Skills and Qualifications:
- Bachelor's degree in Engineering, or a related field.
- 3-5 years of experience in data engineering or a related role.
- Strong proficiency in ETL tools and techniques.
- Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
- Familiarity with big data technologies
- Proficiency in programming languages such as Python, Java, or Scala.
- Knowledge of data warehousing concepts and tools
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Qualifications:
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of machine learning and data science principles.
- Experience with real-time data processing and streaming platforms (e.g., Kafka).
What We Offer:
- Competitive compensation package (12-20 LPA) based on experience and qualifications.
- Opportunity to work with a talented and innovative team in the fintech industry..
- Professional development and growth opportunities.

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We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.
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Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.
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C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.
HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION
We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.
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Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.
Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.
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EDUCATION
University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.
TO APPLY
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Artifex HR is looking to hire an HR recruiter to manage our recruitment cycle. The job involves identifying potential hires, evaluating, interviewing candidates and post recruitment checks.
JOB RESPONSIBILITES:
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