We are seeking a highly skilled Data Engineer with strong experience in building scalable data platforms, ETL/ELT pipelines, and cloud-based data solutions within the FinTech domain. The ideal candidate will have expertise in Python, SQL, Databricks, Spark, Kafka, and cloud technologies, with a proven track record of handling large-scale financial datasets and real-time data processing.
Key Responsibilities:-
- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured financial data.
- Build and optimize batch and real-time data processing systems.
- Integrate market, financial, and alternative data sources into centralized data platforms.
- Develop robust data models, data warehouses, and lakehouse architectures.
- Ensure high standards of data quality, governance, security, and compliance.
- Collaborate with AI/ML teams to support intelligent automation and analytics initiatives.
- Optimize data infrastructure for performance, reliability, and scalability.
- Participate in architecture reviews and contribute to technical design decisions.
- Implement CI/CD and DevOps best practices for data engineering workflows.
Required Skills:-
- Python
- SQL
- ETL/ELT Development
- Databricks
- Apache Spark
- Apache Kafka
- Data Warehousing
- Lakehouse Architecture
- Streaming Data
- Cloud Platforms (AWS, Azure, or GCP)
- CI/CD
- DevOps
- Data Governance
- API Integration
Preferred Experience:-
- FinTech, Investment Research, Banking, Capital Markets, or Financial Services domain experience.
- Experience working with large-scale data platforms and distributed systems.
- Strong understanding of cloud-native data engineering architectures.
Keywords:-
Data Engineer, FinTech, Python, SQL, Databricks, Apache Spark, Apache Kafka, ETL, ELT, Data Warehouse, Lakehouse, Streaming Data, Azure, AWS, GCP, DevOps, CI/CD, Big Data, Financial Data, Cloud Data Engineering.
Pay: ₹1,000,000.00 - ₹1,500,000.00 per year
Application Question(s):
- Do you have 5+ years of Data Engineering experience using Python and SQL?
- Have you worked with Databricks, Spark, Kafka, and cloud platforms (AWS/Azure/GCP)?
- Do you have experience building real-time or batch data pipelines in FinTech or financial services environments?
- Please provide your Current CTC, Expected CTC, Notice Period, and Last Working Day (if currently serving notice).
Education:
Experience:
- Data Engg | Python | SQL | Spark | Cloud: 5 years (Required)
Location:
- Bangalore City, Bengaluru, Karnataka (Required)
Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka
