Data Engineer

1 week ago

Noida, Uttar Pradesh, India Innovaccer Full time

About the Role

Your days are dynamic and impactful. You will spearhead GTM programs aimed at driving significant pipeline and revenue growth. Collaborating closely with the Front End, Inside Sales, and Demand Gen teams, you'll harness extensive knowledge of regional execution performance to identify trends and craft strategies. Your expertise will support the sales organization in smashing their quarterly and yearly pipeline targets, through meticulous project management and strategy execution.

A Day in the Life

Your days are dynamic and impactful. You will spearhead GTM programs aimed at driving significant pipeline and revenue growth. Collaborating closely with the Front End, Inside Sales, and Demand Gen teams, you'll harness extensive knowledge of regional execution performance to identify trends and craft strategies. Your expertise will support the sales organization in smashing their quarterly and yearly pipeline targets, through meticulous project management and strategy execution.

Data Engineering & Warehousing

  • Design, build, and optimize ETL/ELT pipelines leveraging Snowflake, Python/SQL, dbt, and Airflow.
  • Develop and maintain dimensional data models with an emphasis on quality, governance, and time-series performance tracking.
  • Implement real-time monitoring and observability tools to ensure system reliability and alerting for mission-critical data pipelines. Salesforce & Platform Integrations
  • Architect and manage data integrations with Salesforce (SFDC), Jira, HRIS, and various third-party APIs to centralize and operationalize data across platforms.

  • Enable efficient data exchange and automation across core operational tools to support reporting, compliance, and analytics needs. AI Workflows & Agent Platform Engineering

  • Design and implement AI-driven workflows using micro-agent platforms such as n8n, , Relevance AI, or similar.

  • Integrate these platforms with internal systems for automated task execution, decision support, and self-service AI capabilities across operational teams.
  • Support development and deployment of AI co-pilots, compliance automation, and intelligent alerting systems. Collaboration, Enablement & Best Practices
  • Collaborate closely with Central Ops, Legal, IT, and Engineering teams to drive automation, compliance, and cross-functional enablement
  • Champion documentation, self-service data tools, and training resources to empower internal teams with easy access to data and automation solutions.
  • Establish and maintain best practices for scalable, maintainable, and secure data and AI workflow engineering.

What You Need

  • 3-5 years of hands-on experience in technical roles involving system integration, automation, or data engineering in SaaS/B2B environments.
  • Proven experience with Salesforce (SFDC), including data integration, workflow automation, and API-based solutions.
  • Strong proficiency in Python, with practical experience in developing automation scripts, data workflows, and operational tooling.
  • Familiarity with data platforms and databases (e.g., Snowflake, Redshift, BigQuery) to support reliable data flow and integration.
  • Experience designing or deploying AI workflows using micro-agent platforms such as n8n, , Relevance AI, or similar tools.
  • Solid understanding of REST APIs, and experience with real-time data orchestration and system integrations.
  • Bonus: Exposure to SuperAGI, Slack integrations, Jira, or observability and alerting tools is a plus.
  • A proactive, problem-solving mindset, with the ability to work effectively in fast-paced, cross-functional environments.

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