Data Engineer

Gentle is building the next generation of intelligent fintech products that help users make better investment decisions through data, analytics, AI, and automation.

We are looking for a Data Engineer to join our growing team and take ownership of building reliable, scalable data pipelines and platforms that power our analytics, AI models, and business intelligence.

As a Data Engineer, you will work closely with our Product, Backend, DevOps, and Analytics teams to build and optimize our data infrastructure.

You will be responsible for:

• Designing, developing, and maintaining scalable ETL/ELT pipelines.
• Building automated data ingestion and transformation workflows.
• Developing and managing AWS-based data lakes and analytical datasets.
• Working with AWS Glue, Amazon Athena, S3, and PostgreSQL.
• Building data processing workflows using Databricks and Apache Spark.
• Writing and optimizing complex SQL queries and database performance.
• Implementing data quality, validation, monitoring, and governance practices.
• Working with structured and semi-structured datasets at scale.
• Improving pipeline reliability, processing efficiency, and infrastructure costs.
• Contributing to scalable data architecture and technical decisions.

• 3–4 years of hands-on experience in Data Engineering.
• Strong experience with AWS Glue, Amazon Athena, PostgreSQL, and Databricks.
• Advanced SQL and strong database optimization skills.
• Solid understanding of ETL/ELT pipelines, data warehousing, and data lake architecture.
• Hands-on experience with Python and Apache Spark.
• Experience building and managing production-grade data pipelines.
• Strong analytical, debugging, and problem-solving abilities.
• Good communication and documentation skills.

Good to Have

Experience with:

• Apache Airflow
• Kafka or other event-streaming technologies
• AWS Lambda, IAM, CloudWatch, and Secrets Manager
• Git and CI/CD pipelines
• Terraform or CloudFormation
• Delta Lake and Lakehouse Architecture
• FinTech/BFSI or financial market data
• AI/ML data preparation

Why Join Gentle

At Gentle, you'll have the opportunity to:

• Work with modern cloud-native data technologies.
• Build data infrastructure for intelligent fintech products.
• Work with AI, analytics, and financial datasets.
• Take high ownership and have meaningful technical influence.
• Work in a fast-paced environment with opportunities for learning and growth.

If you are passionate about building scalable data systems and solving real-world data challenges, we'd love to hear from you.