Job Description : Data Engineer (FinTech/Trading)

Location : Andheri,west, Mumbai

Experience : 34 Years

Industry : Financial Services

About the Role :

We are looking for a Data Engineer to join our core trading technology team. In this role, you will be responsible for building and maintaining the high-throughput pipelines that feed our quantitative models and execution engines. You won't just be "moving data" you will be ensuring the integrity, latency, and observability market and trade data.

Key Responsibilities :

- Pipeline Architecture : Design, develop, and orchestrate complex ETL/ELT pipelines using Apache Airflow and Python.

- Infrastructure as Code : Deploy and manage cloud-native data environments on AWS (S3, EMR, Redshift, Lambda, Glue).

- Database Mastery : Optimize ultra-fast SQL queries and design schemas capable of handling billions of rows of tick-level financial data.

- Real-time & Batch : Manage the transition from real-time market feeds (Kafka/Kinesis) to long-term analytical storage.

- Data Governance : Implement rigorous Quality Control (QC) and validation frameworks to ensure zero-defect data delivery to our Quant researchers.

- Performance Tuning : Profile and optimize Python code and SQL execution plans to minimize latency.

Technical Requirements :

- Python : 3+ years of professional experience. Must be comfortable with OOP, functions, and data libraries (Pandas, Polars, or PySpark).

- SQL : Expert-level knowledge. You should understand window functions, CTEs, and how the database engine executes a plan under the hood.

- Orchestration : Hands-on experience with Apache Airflow (building custom operators, managing DAG dependencies, and backfilling).

- Cloud (AWS) : Proven experience with the AWS data stack. Certifications are a plus but hands-on experience is mandatory.

- Containerization : Proficiency with Docker and Docker Compose for reproducible environments.

Preferred Qualifications :

- Financial Domain Knowledge : Direct experience working with Market Data (L1/L2/L3), Order Books, or Trade Execution data.

- High Performance : Experience with low-latency formats such as Parquet.

- Streaming : Exposure to message brokers like Apache Kafka or RabbitMQ.

The Ideal Candidate :

- You have a "Production First" mindsetyou write code that is tested, logged, and monitored.

- You are comfortable with ambiguity and can thrive in the fast-paced environment of a trading floor.

- You believe that Data Quality is a feature, not an afterthought.