Software Engineer (MTS) – Big Data Backend
Salesforce · Hyderabad
| Company | Salesforce |
|---|---|
| Role | Software Engineer (MTS) – Big Data Backend |
| Location | Hyderabad |
| Work mode | On-site |
| Experience | 1–3 years |
| Job type | Full-time |
About this job
Salesforce's Big Data infrastructure team in Hyderabad builds the data platform used for analytics across the company. This backend Software Engineer (MTS) role works on distributed systems running across thousands of machines.
You will build data-processing services with Spark, Trino, Airflow and Kafka, keep them reliable, and join the on-call rotation. It suits a backend or data engineer with hands-on big-data experience, strong Python, Java or Scala, and some cloud and Kubernetes knowledge. Salesforce does not state years of experience for this level.
Eligibility
- Exact years of experience are not stated in the posting; check the official page
- Hands-on with Spark, Trino, Airflow and Kafka
- Strong Python, Java or Scala
- Experience with AWS, GCP or Azure and Kubernetes
Skills required
What you will do
- Build data processing services
- Run distributed systems at scale
- Join the on-call rotation
How to apply
- Open the official job page using the button below and read the full description
- Tailor your resume to the skills listed here and apply directly on the company's careers site
Before the interview, prepare:
- Spark internals: partitions, shuffles, skew
- Kafka and Airflow in production
- Distributed systems: fault tolerance and partitioning
- An on-call incident you handled
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