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Chennai | Expertini

Urgent! Software Engineer Data Job | R Systems

Software Engineer Data



Job description

Your Role and Impact
Your Contribution
About The Role–-
As a Software Engineer II - Data, you will contribute to the design and development of data systems including pipelines, APIs, analytics, AI and machine learning at scale.

You'll be a core part of our Data Products team, building and maintaining production-grade pipelines and platform components that power business and product outcomes.

This role emphasizes hands-on development, reliability, and team collaboration.

Primarily Focused On

  • Writing high-quality, scalable, and maintainable code across data pipelines, APIs, and data platform services.

  • Collaborating with senior engineers, analysts, and product stakeholders to translate technical requirements into working solutions.

  • Developing and supporting APIs, batch and real-time data flows, ensuring reliability and performance in 24x7 environments.

  • Contributing to data modeling, transformation logic, and system design decisions in support of reporting, analytics, and data delivery needs.

  • Participating in the end-to-end software development lifecycle - including planning, testing, deployment, and operations.

  • Taking ownership of features and components, and seeing them through from design to deployment.

  • Documenting technical decisions, workflows, and runbooks to support long-term maintainability and clarity for peers.

  • Practicing responsible data governance, ensuring data quality, privacy, and lineage are considered in all development.

  • Continuously learning and growing through code reviews, pairing, and technical mentorship.

Success In This Role Requires

  • A proactive and collaborative approach to problem-solving, with a mindset focused on outcomes, learning, and iteration.

  • The ability to manage multiple priorities or projects simultaneously, while meeting deadlines and maintaining high technical standards.

  • Comfort operating within modern cloud-native architectures and tooling.

  • Commitment to writing clean, testable, and maintainable code.

  • An understanding of how your work contributes to broader team and business goals.

  • Willingness to ask questions, challenge assumptions, and share ideas.

About You--
Experience & Technical Requirements:

  • 2–4 years of development experience, with production systems in cloud environments.

  • Proficient in Python and/or Golang, and SQL for data processing, transformation, and orchestration tasks.

  • Experience with at least one modern cloud platform (e.g., GCP, AWS, or Azure).

  • Experience developing REST or GraphQL APIs and internal data access layers.

  • Experience building and maintaining ETL/ELT pipelines or API-driven data services.

  • Experience with source control (e.g., Git), automated testing, and CI/CD practices.

  • Exposure to orchestration tooling such as n8n, Cloud scheduler, Airflow, Step Functions, or similar.

  • Understanding of data modeling concepts and cloud warehousing (e.g. Databricks, BigQuery, Snowflake or other).

  • Familiarity with Kafka, Pub/Sub, or other event-based systems.

  • Awareness of data quality, observability, and governance principles in engineering contexts.

  • Strong written and verbal communication skills, with an ability to share context with both technical peers and cross-functional partners.

  • Experience working with containerized environments (e.g., Docker, Kubernetes).

  • Exposure to infrastructure-as-code, especially for deploying and managing data workflows.

  • Hands-on use of BI tools like Looker or Tableau
  • A growth mindset and interest in mentoring junior peers or learning from senior engineers.

Highly Favorable Skills

  • Strong communication skills with the ability to clearly explain technical concepts to peers, analysts, and product partners.

  • Demonstrated initiative in solving ambiguous technical problems or improving systems without being prompted.

  • Exposure to client-facing or cross-functional environments, such as working directly with product managers, analysts, or external partners.

  • Hands-on experience deploying or operating critical systems, services, or pipelines with high availability requirements.

  • Participation in agile or iterative development teams, including experience with sprint planning, retrospectives, or technical scoping.

  • Contributions to documentation, internal knowledge bases, or open-source projects.

  • Interest in mentoring interns or junior engineers, or actively seeking mentorship to accelerate your own growth.


Required Skill Profession

Other General



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