Software Engineer (Data Systems/ETL)

Harris

IndiaremotePosted 1 month ago

Skill Required

Software-EngineerData-EngineeringETL-DevelopmentData-Systems-EngineeringBackend-EngineeringSoftware-Data-EngineerETL-Data-EngineerETL-EngineerAnalytics-Software-EngineerSoftware-Systems-EngineerSoftware-Engineer-IISoftware-Engineer-ISoftware-DeveloperData-Integration-EngineerDeveloperData EngineerSoftware EngineerSoftware DeveloperETLsoftware engineeringData StructuresCloud Securitytroubleshootingrelated fieldEngineeringsimilar)RedshiftsecuritybuildingGraphQLwrittenTestNGPythonAzureCloudDesign PatternsAPIsSQLAWSGCPandAIFulltime

Key highlights

5-7+ years of professional software development experience required
Remote work with fixed shift: Monday to Friday 2:00pm to 11:30pm IST
30 days total leave per calendar year
AWS Redshift administration experience preferred
Python and SQL proficiency required
Experience with cloud platforms (AWS/Azure) required

Role overview

We are looking for a mid-level Software Engineer to join our data systems team, with a primary focus on the day-to-day processing, reliability, and performance of our billing engine and the data pipelines that feed it. This role requires a strong SQL foundation, comfort working in a cloud data warehouse environment, and the ability to understand and maintain a multi-step ETL process end to end. When not engaged in billing engine work, this person will support broader platform efforts, including API/interface work, cloud security safeguards, and services running in a containerized environment.

Responsibilities

Monitor and support the daily processing of the billing engine, including troubleshooting and resolving data or processing issues as they arise.
Write, review, and optimize SQL queries and processes operating against high-volume datasets (tens of millions of records processed daily).
Understand, maintain, and enhance the ETL pipeline that feeds the billing engine, including data validation, transformation, and load steps.
Identify and implement performance improvements in data processing jobs and pipeline steps.
Write and maintain Python code supporting ETL and data processing workflows.
Document data flows, processing logic, and known issues to support team continuity and knowledge sharing.
Assist with the organization and maintenance of GraphQL interfaces used across the platform.
Contribute to building and maintaining security safeguards across cloud environments.
Support and troubleshoot software running in a container orchestration environment and other cloud-based services.
Participate in code reviews and follow established coding and data-handling standards.
Collaborate with onshore and offshore team members across time zones, including regular participation in team standups.

Requirements

Bachelor's degree in computer science, Engineering, a related field, or equivalent practical experience.
5-7+ years of professional software development experience across front-end and back-end work.
Experience administrating AWS Redshift (ideally), or comparable high-volume data system/ETL experience.
Working proficiency in Python for data processing or ETL-related development.
Experience with at least one major public cloud platform—AWS, Azure, etc.
Solid understanding of software engineering fundamentals: data structures, APIs, testing, and version control.
Ability to work independently on assigned features while collaborating well with a distributed team.
Comfort incorporating AI-assisted coding tools into daily development work.
Strong written and verbal English communication skills for cross-team, cross-timezone collaboration.

Nice to have

Experience with cloud data warehouse platforms (e.g., Redshift or similar).
Experience with GraphQL or other modern API/interface technologies.
Experience building security or compliance-related features in a cloud environment.
Experience with multiple cloud platforms (Azure, AWS, and/or GCP).
Experience contributing to a customer-facing product or portal.
Experience setting up or working with agentic AI coding pipelines.
Excellent Communication Skills (Written & Verbal).
Working Independently.
Critical Thinking.