Job Description

About Gentle

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

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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.

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The Role

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

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You will be responsible for:

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

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

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Experience with:

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

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At Gentle, you'll have the opportunity to:

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- Work with modern cloud-native data technologies.
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- Build data infrastructure for intelligent fintech products.
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- Work with AI, analytics, and financial datasets.
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- Take high ownership and have meaningful technical influence.
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- Work in a fast-paced environment with opportunities for learning and growth.
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If you are passionate about building scalable data systems and solving real-world data challenges, we'd love to hear from you.

📌 Data Engineer (India)
🏢 gentle.money
📍 India