Data Engineering MTS/SMTS - ETL
Salesforce, Inc. (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, enhance, and support ETL/ELT data pipelines, enterprise integrations, and data warehouse platforms using Python, Snowflake, SQL, Informatica, and Airflow.
- Provide production support including incident triage, monitoring APIs and data flows, ensuring operational SLAs, and coordinating resolution efforts.
- Maintain operational documentation, manage release activities, perform root cause analysis, and collaborate with multiple teams for stable data delivery and integration solutions.
Minimum Requirements
- 4+ years of experience in developing, maintaining, and supporting ETL/ELT pipelines and data warehouse platforms.
- Strong skills in SQL, Python, Snowflake, Apache Airflow, and MuleSoft API integrations.
- Working knowledge of Salesforce platform objects, APIs, authentication, and integration patterns.
- Experience in production support including job monitoring, incident management, and SLA adherence.
Ideal Candidate Profile
- Experienced data engineer focused on end-to-end ETL/ELT pipeline development and production support in enterprise cloud environments.
- Proficient in managing cross-team collaboration across data engineering, Salesforce, application, infrastructure, security, and business stakeholders to ensure stable operations.
- Comfortable leveraging AI-assisted monitoring and agentic support tools to enhance incident response and process automation.