Data Engineering Senior Associate
Spotted 1h agoFull time
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Job description
About this role
Employer-provided description, formatted for easier reading.
3–7 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.
- Ability to create clear SOPs, runbooks, RCAs, operational reports, and technical documentation.
- Strong communication, collaboration, analytical, and problem-solving skills.
Nice-to-Have Skills
- Experience with Informatica or Data Integrator.
- Tableau reporting and dashboard-development experience.
- Familiarity with Salesforce data models and tools such as Bulk API, REST API, Platform Events, or Change Data Capture.
- Experience with AI-assisted or agentic support solutions for monitoring, incident analysis, automated remediation, and knowledge management.
- Knowledge of CI/CD pipelines, Git, automated deployment, release controls, and rollback procedures.
- Experience with cloud platforms, observability tools, service-management platforms, and enterprise alerting solutions.
- Familiarity with Agile delivery, ITIL processes, change management, and problem management.
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