Data Engineering MTS/SMTS - ETL
Salesforce2 days ago
Bengaluru, India or Hyderābād, IndiaMid Level
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 workflow orchestration, dependencies, retries, and failure recovery.
- Develop and support MuleSoft APIs and integrations connecting Salesforce, enterprise applications, databases, and data platforms.
- Monitor jobs, APIs, interfaces, data availability, data quality, and dependencies to meet operational SLAs.
- Perform incident triage, service restoration, root cause analysis, corrective-action tracking, and production troubleshooting.
- Support release management, deployment validation, rollback readiness, patching, credential rotation, certificate renewal, access management, and environment migrations.
- Create and maintain runbooks, SOPs, release checklists, job inventories, operational reports, knowledge articles, and RCA documentation.
- Support Salesforce integrations involving objects, APIs, authentication, batch interfaces, data flows, and integration troubleshooting.
- Perform data validation, source-to-target reconciliation, completeness checks, and failed-job recovery.
- Collaborate with data engineering, Salesforce, application, infrastructure, security, database, and business teams.
Requirements
- At least 4 years of experience developing, maintaining, and supporting ETL/ELT pipelines, enterprise integrations, data warehouse platforms, and production systems.
- 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, API integrations, job monitoring, incident management, release management, and SLA-based production support.
- Working knowledge of Salesforce 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.
- Ability to create SOPs, runbooks, RCA reports, operational reports, and technical documentation.
- Preferred experience includes Informatica or Data Integrator, Tableau, Salesforce Bulk API, REST API, Platform Events, Change Data Capture, AI-assisted support, CI/CD, Git, cloud platforms, observability tools, service-management platforms, and enterprise alerting solutions.
- Preferred familiarity with Agile, ITIL, change management, problem management, AI development tools, and advanced prompt engineering.
Benefits
- Salesforce provides benefits and resources intended to support balance and employee well-being.
- Salesforce provides reasonable accommodations during the application and recruiting process.
- Salesforce is an equal opportunity employer.
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.