# Data Engineering MTS/SMTS - ETL at Salesforce

Salesforce is hiring a Data Engineering MTS/SMTS - ETL in Hyderabad, India. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/6c64c4fd-a9bb-4595-9557-849146c95597?utm_medium=ai-agent).

AI Level 1, AI centrality 35 out of 100. India - Hyderabad.

## Details

- Company: [Salesforce](https://jobsbylevel.com/companies/salesforce)
- AI level: AI Level 1 (score 35 out of 100)
- Location: India - Hyderabad
- Posted: October 15, 2026
- Apply: https://jobsbylevel.com/go/6c64c4fd-a9bb-4595-9557-849146c95597?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/data-engineering-mts-smts-etl-at-salesforce-1ed652

## Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. 4+ years of overall experience in developing, maintaining, and supporting ETL/ELT pipelines, enterprise integrations, data warehouse platforms, and production systems. Primary Responsibilities Develop, enhance, and support data ingestion and ETL/ELT solutions using Python, Snowflake, SQL, Informatica, or BusinessObjects Data Integrator. Design, maintain, and monitor Apache Airflow DAGs for scheduling, workflow orchestration, dependency management, retries, and failure recovery. Develop and support MuleSoft APIs and integrations connecting Salesforce, enterprise applications, databases, and data platforms. Provide production and agentic support using AI-assisted monitoring, troubleshooting, knowledge retrieval, incident summarization, and resolution recommendations. Monitor scheduled jobs, APIs, interfaces, data availability, data quality, and upstream/downstream dependencies to meet operational SLAs. Perform incident triage, restore failed services, coordinate with stakeholders, and track Time to Resolution (TTR). Support month-end, quarter-end, and year-end activities by assisting with the SoX process in collaboration with Internal and External Auditors Knowledge of Finance and HCM systems is a significant advantage. Conduct Root Cause Analysis (RCA) for recurring or critical incidents. Document corrective and preventive actions and track them through closure. Support release management activities, including deployment planning, release validation, production verification, rollback readiness, and post-release monitoring. Create and maintain operational run lists, production schedules, release checklists, job inventories, dependency details, and escalation contacts. Develop and maintain Standard Operating Procedures (SOPs), runbooks, support documentation, knowledge articles, and RCA reports. Perform operational activities such as system patching, password and credential rotation, certificate renewal, access management, configuration changes, and environment migrations. Support Salesforce-related integrations with an understanding of Salesforce objects, APIs, authentication, batch interfaces, data flows, and integration troubleshooting. Perform data validation, source-to-target reconciliation, completeness checks, and failed-job recovery to ensure reliable data delivery. Collaborate with data engineering, Salesforce, application, infrastructure, security, database, and business teams to resolve issues and deliver stable solutions. Required Skills Strong SQL development, data analysis, and production troubleshooting skills. Hands-on experience with Python and Snowflake. Experience with Apache Airflow workflow development, scheduling, and monitoring. Experience supporting MuleSoft APIs and enterprise integrations. Understanding of ETL/ELT processes, API integrations, job monitoring, incident management, release management, and SLA-based production support. Working knowledge of Salesforce platform concepts, objects, APIs, authentication, and integration patterns. Knowledge of data warehouse concepts, including fact and dimension tables, star and snowflake schemas, conformed dimensions, and Slowly Changing Dimensions.

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineering-mts-smts-etl-at-salesforce-1ed652

Source: https://jobsbylevel.com/jobs/data-engineering-mts-smts-etl-at-salesforce-1ed652

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