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Senior Python Data Engineer

Persistent Systems
Maharashtra, IND
Full-time
Hybrid
Discovered 3 weeks ago
PythonBackend developmentREST APIsOAuth authenticationAPI key managementETL/ELT

Full Job Posting

Position

Senior Python Data Engineer focused on scalable data connectors, backend development, and integration pipelines.

The posting states 6–10 years of experience, full-time employment, and a role location across Persistent locations.

What you'll do

  • Build reusable connectors for CRM, advertising, POS, client systems, and third-party APIs.
  • Develop reliable ingestion pipelines and integration frameworks; own connector development through maintenance.
  • Implement API integrations using REST, OAuth, API keys, pagination, and rate limiting.
  • Manage schema evolution, mapping, transformation, and backward compatibility.
  • Design ETL/ELT pipelines for large data volumes.
  • Provide production logging, monitoring, alerting, observability, and operational dashboards.
  • Coordinate client data onboarding with product, data strategy, client technical, and business teams.
  • Resolve complex integration issues and improve reliability, scalability, performance, and operational efficiency.
  • Apply security, automation, documentation, testing, and code-quality practices; support architecture, modernization, and production operations.

Expertise you'll bring

  • 6–10 years in data engineering, backend development, and data integration projects.
  • Strong hands-on Python and backend engineering expertise.
  • Experience with REST APIs, OAuth, API key management, pagination, and rate limiting.
  • Experience building enterprise data connectors and integration platforms; expertise in ETL/ELT, ingestion frameworks, and data processing.
  • Strong SQL skills for validation, transformation, optimization, and troubleshooting.
  • Experience with orchestration platforms such as Apache Airflow, dbt, or similar.
  • Understanding of connector lifecycle management, Git, schema evolution, metadata, data mapping, and backward compatibility.
  • Experience with Datadog, ELK Stack, Grafana, or similar observability and monitoring tools.
  • Hands-on Docker and containerized deployment experience.
  • Strong analysis, troubleshooting, root-cause analysis, communication, stakeholder management, and documentation skills; ownership and ability to deliver integrations on schedule.

Benefits

  • Competitive salary and benefits package, quarterly growth opportunities, and company-sponsored education and certifications.
  • Flexible work hours, employee engagement initiatives, annual health check-ups, and insurance coverage for employees and eligible family members.

Workplace

  • The description states that Persistent supports hybrid work and flexible hours.

About Persistent

Persistent describes itself as an AI-led, platform-driven digital engineering and enterprise modernization partner serving organizations across industries.

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