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Data Engineer - GTP

5 years

16 - 30 Lacs

Chennai Tamil Nadu India

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

data technology payments cutting power analytics reporting support design etl aws pyspark integrity sql extraction redshift engineering checks monitoring logging reliability compliance governance iam security strategy agility documentation flow architecture optimization analysis dashboarding visual storytelling git agile development communication leadership stack

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of Weekday's clientsSalary range: Rs 1600000 - Rs 3000000 (ie INR 16-30 LPA)Min Experience: 5 yearsLocation: ChennaiJobType: full-time

Requirements

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

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