Software Engineer (Data Systems/ETL)

MediSolution; Hinoba-an; Remote; PHP 591,000 - 986,000; Full time

Benefits offered by this job

30 days leave per year

Mediclaim policy

Group Term Life Insurance

Job summary

MediSolution is seeking a mid-level Software Engineer to join our data systems team, focusing on the billing engine and ETL pipelines. The role requires strong SQL, Python, and cloud data warehouse experience, with end-to-end ETL process understanding.

Work mode is remote with collaboration across onshore and offshore teams, including API/interface work and cloud security safeguards in a containerized environment.

Qualifications

• Bachelor’s degree in computer science, engineering, or related field.
• 5-7+ years of professional software development experience.
• Experience administrating AWS Redshift or similar high-volume data systems/ETL.
• Proficient in Python for data processing or ETL development.
• Experience with public cloud platforms (AWS/Azure/GCP).
• Strong fundamentals in data structures, APIs, testing, and version control.
• Ability to work independently and with distributed teams.
• Familiarity with GraphQL or modern API/interface technologies.

Responsibilities

• Monitor and optimize daily processing of the billing engine and data pipelines.
• Write, review, and optimize SQL queries for large datasets.
• Maintain ETL processes including validation, transformation, and load steps.
• Develop Python code supporting ETL and data workflows.
• Document data flows and known issues for team continuity.
• Support GraphQL interfaces and cloud security safeguards across environments.
• Collaborate with onshore and offshore teams and participate in code reviews.

Skills

Python

SQL

AWS

Data processing

Distributed systems

Education

Bachelor's degree in computer science or related field

Tools

GraphQL

Cloud orchestration

Containerization (Docker/Kubernetes)

Job description

Job Summary: 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.

Work Mode: Remote Shift Timings: Monday to Friday 2:00pm to 11:30Pm IST Location: Mumbai -Remote

Billing Engine & Data Processing 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.

Broader Platform Support 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.

What We Are Looking For:

• 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.
• Good 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.

Soft Skills/ Behavioural Skills:

• 1. Excellent Communication Skills (Written & Verbal)
• 2. Working Independently.
• 3. Critical Thinking

Benefits:

• Annual Public Holidays as applicable 30 days total leave per calendar year Mediclaim policy Lifestyle Rewards Program Group Term Life Insurance Gratuity ...and more!

Harris fournit des solutions logicielles essentielles pour le secteur public, les soins de santé, les services publics et le secteur privé en Amérique du Nord, en Europe, en Asie et en Australie. Travailler pour Harris est l'occasion idéale de réaliser vos objectifs professionnels ainsi que vos rêves personnels ! Nos employés bénéficient d'un environnement de travail décontracté qui offre un confort tout en fournissant un service de qualité supérieure à nos clients. Nous offrons un ensemble complet d'avantages sociaux ainsi que d'autres "avantages" supplémentaires ! Nous donnons à nos employés les moyens de faire la différence Nous avons une culture d'entreprise riche Nous offrons la possibilité d'apprendre Nous sommes financièrement solides et nous appartenons à la plus grande société de logiciels du Canada (CSI) On s'amuse beaucoup ! Suivez-nous sur les médias sociaux pour en savoir plus sur les valeurs, la culture et les initiatives de notre entreprise !

Harris est un employeur à égalité de chances et d'action positive. Nous considérons les candidats sans considération de race, couleur, religion, âge, origine nationale, ascendance, origine ethnique, sexe, identité de genre, expression de genre, orientation sexuelle, statut matrimonial, statut de vétéran, handicap, information génétique, statut de citoyen ou autre groupe protégé par la loi fédérale, provinciale ou locale. Si vous souhaitez nous contacter concernant l'accessibilité de notre site Web ou si vous avez besoin d'aide pour remplir le formulaire de demande d'emploi, veuillez nous contacter au (1)-613-226-5611 ou à [e-mail]. Ces informations de contact sont uniquement destinées aux demandes d'accommodement raisonnable et ne peuvent être utilisées pour se renseigner sur le statut des candidatures.

Harris is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Applicants who require a reasonable accommodation due to a disability may contact us by email at [e-mail]. Accommodation requests may be made at any time. This email address is dedicated solely to accommodation requests and cannot be used to inquire about application status.

Know Your Rights Poster EO 13496: Notification of Employee Rights under Federal Labor Laws Our commitment to fair and equitable hiring. As part of our recruitment process, we use artificial intelligence (AI) tools during the initial screening phase to help identify candidates whose qualifications most closely align with the requirements of the role. This technology supports efficiency and consistency in the early stages, but it never replaces human judgement. All subsequent evaluations and final hiring decisions are made by our recruitment professionals. AI does not make final hiring decisions.