Forward Deployment Engineer

Persistent Systems Limited

Pune District

On-site

INR 350,000 - 600,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work options
Education sponsorship
Insurance coverage

Job summary

Persistent Systems Limited is seeking an experienced Forward Deployment Engineer (Connector Ecosystem) to design, build, and maintain scalable data connectors and integration pipelines powering marketing measurement and client data onboarding.

The role requires 8–14 years in data/integration engineering, strong Python and REST API skills, and experience with ETL/ELT, orchestration tools, and observability platforms.

Qualifications

  • 8–14 years of experience in Data Engineering, Integration Engineering, Platform Engineering, or Backend Development.
  • Strong hands-on expertise in Python development and data integration frameworks.
  • REST API integrations, OAuth authentication, API Key management, pagination, and rate-limiting implementations.
  • Proven experience building, deploying, and maintaining enterprise-scale data connectors and integration solutions.
  • Strong expertise in ETL/ELT development, workflow orchestration, and data ingestion pipelines.
  • Advanced SQL skills for data validation, troubleshooting, transformation, and optimization.
  • Experience with orchestration tools such as Apache Airflow, dbt, or equivalent technologies.
  • Strong understanding of Git-based version control systems and connector lifecycle management practices.
  • Experience handling schema evolution, metadata management, data mapping, and backward compatibility requirements.
  • Expertise in implementing observability solutions using Datadog, ELK Stack, Grafana, or similar monitoring platforms.
  • Hands-on experience with Docker and containerized application deployment.

Responsibilities

  • Design, develop, and maintain reusable data connectors for client systems, ad platforms, CRM applications, POS systems, and third-party APIs.
  • Build scalable data ingestion pipelines and integration frameworks to support large-scale data onboarding initiatives.
  • Own the end-to-end connector lifecycle, including development, versioning, enhancement, deployment, support, and maintenance.
  • Develop integrations using REST APIs, OAuth authentication, API Keys, pagination techniques, and rate-limiting strategies.
  • Manage schema evolution, data mapping, backward compatibility, and data validation requirements across multiple systems.
  • Ensure production-grade reliability through logging, monitoring, alerting, and observability best practices.
  • Collaborate with Data Strategists, Product Managers, Client Technical Teams, and stakeholders to onboard new client data sources.
  • Troubleshoot integration issues and provide scalable technical solutions for complex business requirements.
  • Improve platform scalability, operational efficiency, reliability, and performance.
  • Implement observability frameworks using monitoring, logging, and metrics platforms.
  • Follow software engineering best practices for security, deployment automation, documentation, testing, and code quality.
  • Participate in architectural discussions and recommend improvements to connector frameworks and integration platforms.
  • Support production environments and drive continuous improvements in platform stability and performance.

Skills

Python
REST APIs
OAuth
Data integration
ETL/ELT
Airflow
DBT
Git
Datadog
ELK Stack
Grafana
Docker
Kubernetes
Troubleshooting

Tools

Datadog
ELK Stack
Grafana
Docker
Kubernetes
Git
Apache Airflow
dbt

Job description

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

We are looking for an experienced Forward Deployment Engineer (Connector Ecosystem) to design, build, and maintain scalable data connectors and integration pipelines that power marketing measurement, analytics, and client data onboarding solutions. The ideal candidate will possess strong expertise in Python development, API integrations, ETL/ELT frameworks, cloud platforms, and connector lifecycle management. You will work closely with clients, product teams, data strategists, and engineering teams to deliver robust, production-grade integration solutions.

  • Location: All Persistent Locations
  • Experience: 8 to 14 Years
  • Job Type: Full-Time Employment
What You'll Do:
  • Design, develop, and maintain reusable data connectors for client systems, ad platforms, CRM applications, POS systems, and third-party APIs.
  • Build scalable data ingestion pipelines and integration frameworks to support large-scale data onboarding initiatives.
  • Own the end-to-end connector lifecycle, including development, versioning, enhancement, deployment, support, and maintenance.
  • Develop integrations using REST APIs, OAuth authentication, API Keys, pagination techniques, and rate-limiting strategies.
  • Manage schema evolution, data mapping, backward compatibility, and data validation requirements across multiple systems.
  • Ensure production-grade reliability through logging, monitoring, alerting, and observability best practices.
  • Collaborate with Data Strategists, Product Managers, Client Technical Teams, and stakeholders to onboard new client data sources.
  • Troubleshoot integration issues and provide scalable technical solutions for complex business requirements.
  • Improve platform scalability, operational efficiency, reliability, and performance.
  • Implement observability frameworks using monitoring, logging, and metrics platforms.
  • Follow software engineering best practices for security, deployment automation, documentation, testing, and code quality.
  • Participate in architectural discussions and recommend improvements to connector frameworks and integration platforms.
  • Support production environments and drive continuous improvements in platform stability and performance.
Expertise You'll Bring:
  • 8-14 years of experience in Data Engineering, Integration Engineering, Platform Engineering, or Backend Development.
  • Strong hands-on expertise in Python development and data integration frameworks.
  • Extensive experience in REST API integrations, OAuth authentication, API Key management, pagination, and rate-limiting implementations.
  • Proven experience building, deploying, and maintaining enterprise-scale data connectors and integration solutions.
  • Strong expertise in ETL/ELT development, workflow orchestration, and data ingestion pipelines.
  • Advanced SQL skills for data validation, troubleshooting, transformation, and optimization.
  • Experience working with orchestration tools such as Apache Airflow, dbt, or equivalent technologies.
  • Strong understanding of Git-based version control systems and connector lifecycle management practices.
  • Experience handling schema evolution, metadata management, data mapping, and backward compatibility requirements.
  • Expertise in implementing observability solutions using Datadog, ELK Stack, Grafana, or similar monitoring platforms.
  • Hands-on experience with Docker and containerized application deployment.
  • Strong analytical, troubleshooting, debugging, and root-cause analysis skills.
  • Ability to work effectively with clients, business stakeholders, and cross-functional teams.
  • Excellent communication, presentation, and technical documentation capabilities.
  • Strong ownership mindset with end-to-end accountability for delivery and support.
  • Ability to manage multiple client integrations and parallel initiatives successfully.
  • Passion for developing reusable, scalable, and highly reliable connector ecosystems.
  • Curiosity to learn new APIs, technologies, cloud services, and modern data platforms.
  • Strong focus on automation, operational excellence, and platform reliability.
  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

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