This role is for one of Weekday's clients
Salary range: Rs ******* - Rs ******* (ie INR ***** LPA)
Min Experience: 5 years
Location: Chennai
JobType: full time
Our client is a fast-growing, technology-first cross-border payments company headquartered in Singapore with a strong operational presence in Chennai. They are committed to redefining global payments by building secure, scalable, and seamless financial infrastructure using cutting-edge cloud and data technologies.
About the Role:
We are looking for a
Data Engineer – GTP
to join our dynamic team in Chennai. In this role, you will be responsible for building and maintaining robust, scalable, and high-performance data pipelines that power real-time analytics and reporting needs across business functions. You will be working closely with data analysts, data scientists, and platform engineers to support key business and product initiatives.
This is an exciting opportunity for professionals passionate about working with modern data technologies and driving business impact through data solutions in a mission-critical industry like cross-border payments.
Key Responsibilities:
Design, develop, and maintain
ETL pipelines
using
AWS Glue (PySpark)
for structured and semi-structured data sources.
Build and manage
data lakes
, ensuring high availability, performance, and data integrity.
Perform complex
data modeling
and
data transformation
to support reporting and analytics needs.
Develop and optimize
SQL
queries for data extraction using
AWS Athena
and Redshift.
Create dynamic, interactive dashboards using
AWS Quicksight
for internal stakeholders and decision-makers.




Collaborate with engineering, product, and business teams to understand data requirements and deliver solutions aligned with business goals.
Implement
data quality checks
, monitoring, and logging systems to maintain reliability and compliance.
Ensure proper data access control and governance using
AWS IAM
and other cloud-native security tools.
Assist in building a
data platform strategy
that supports business scale and agility.
Maintain thorough documentation of data flow, architecture, and operational procedures.
Required Skills & Qualifications:
Bachelor's or Master's degree in Computer Science, IT, or related technical discipline.
Minimum
5 years of hands-on experience
in
data engineering
roles.
Proficiency in
AWS services
: S3, Glue (PySpark), Redshift, Lambda, IAM, Athena.
Proven experience designing and implementing
ETL workflows
using
AWS Glue (PySpark)
.
Deep understanding of
data lake architectures
, partitioning, and performance optimization.
Experience with
SQL
and
AWS Athena
for complex data analysis.
Strong experience in
dashboarding and visual storytelling
using
AWS Quicksight
.
Exposure to
CI/CD practices
, version control (Git), and Agile development methodologies is a plus.
Excellent communication skills, with the ability to convey technical concepts clearly to non-technical stakeholders.
Why Join Us?
Opportunity to work on
large-scale payment systems
with global reach.
High-impact role with visibility across teams and leadership.
Work with a talented, mission-driven team in a modern tech stack.
Flexible hybrid work culture and competitive compensation.

📌 Data Engineer - Gtp (Chennai)
🏢 Weekday AI
📍 Chennai