Software Engineer III
Walmart · Chennai · Posted 2026-06-18
Tech stack: AWS, Azure, Cassandra, Docker, GCP, GitHub Actions, Java, Jenkins, Kafka, Kubernetes, Python, SQL, Scala, Terraform
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About the role
Deliver platform features end-to-end: Participate in discovery for small to medium initiatives; translate requirements and user stories into technical designs; implement services, pipelines, and APIs; write tests; and ship via CI/CD. Build data-intensive services: Develop reliable, scalable batch and streaming data pipelines (e.g., Spark/Flink, Airflow/NiFi), data services, and microservices in Java/Scala/Python.
Responsibilities:
- Deliver platform features end-to-end: Participate in discovery for small to medium initiatives; translate
Qualifications:
- Experience with data platforms: SQL and NoSQL databases (e.g., BigQuery, Postgres, Cassandra, Cosmos), data modeling, and performance tuning.
- Event & streaming: Practical experience with Kafka (or Pub/Sub equivalents), stream processing, and exactly-once/at-least-once semantics.
- Cloud & DevOps: Experience with a major public cloud (GCP/Azure/AWS) and CI/CD pipelines (e.g., Jenkins/GitHub Actions/Argo), containerization (Docker, Kubernetes), and infrastructure as code (e.g., Terraform—nice to have).
- Testing & quality: Proficiency in unit/integration testing, contract testing, and data quality frameworks (e.g., Great Expectations/DQ—nice to have).
- Observability & operations: Familiarity with application and data pipeline monitoring, alerting, and diagnostics (e.g., Grafana/Prometheus/Splunk); willingness to participate in on-call.
- Security & compliance mindset: Understanding of data security, privacy, and relevant standards (e.g., PCI, PII governance); ability to apply them during design and development.
- Collaboration & communication: Ability to work across product/engineering/business stakeholders; clear written/verbal communication, design documentation, and PR review skills.
Qualifications
- Experience with data platforms: SQL and NoSQL databases (e.g., BigQuery, Postgres Cassandra, Cosmos), data modeling, and performance tuning.
- Event & streaming: Practical experience with Kafka (or Pub/Sub equivalents), stream processing, and exactly-once/at-least-once semantics.
- Cloud & DevOps:
- Experience with a major public cloud (GCP/Azure/AWS) and CI/CD pipelines (e.g., Jenkins/GitHub Actions/Argo), containerization (Docker, Kubernetes), and infrastructure as code (e.g., Terraform—nice to have).
- Testing & quality:
- Proficiency in unit/integration testing, contract testing, and data quality frameworks (e.g., Great Expectations/DQ—nice to have).
- Observability & operations:
- Familiarity with application and data pipeline monitoring, alerting, and diagnostics (e.g., Grafana/Prometheus/Splunk); willingness to participate in on-call.
- Security & compliance mindset:
- Understanding of data security, privacy, and relevant standards (e.g., PCI, PII governance); ability to apply them during design and development.
- Collaboration & communication:
- Ability to work across product/engineering/business stakeholders; clear written/verbal communication, design documentation, and PR review skills.
Responsibilities
- Deliver platform features end-to-end: Participate in discovery for small to medium initiatives; translate