Live opening · Posted 14 days ago

Sr. Data Engineer-Ahmedabad

gentle.money · Ahmedabad, Gujarat, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 14 days ago
Companygentle.money
LocationAhmedabad, Gujarat, India (On-site)
Work modeNo
SourceLinkedin
Listed14 days ago

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About the role

Description supplied by the original job listing.

About the job
About Gentle
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.
The Role
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.
What We’re Looking For
4-5 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.

Work arrangement
No

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