Data integration engineer - Informatica / AWS - Onsite - no C2C

  • Category
    IT
  • Location
    Andover, Massachusetts
  • Type
    Contract to hire
No C2C / W2 Only / Onsite 4 days per week - Andover, MA
Overview
:
Our ideal candidate will have 7–10 years of relevant experience, along with a strong willingness to learn and grow within the role. Experience with IDMC and AWS Redshift is required.
  • You will be responsible for designing, developing, and maintaining modern data pipelines on the Informatica Data Management Cloud (IDMC) platform.
  • This role plays a critical part in enabling data ingestion, transformation, and integration in support of the company’s cloud-first data architecture and enterprise data warehouse.
  • The engineer is accountable for implementing scalable and maintainable data workflows using IDMC's full suite of tools, including Mass Ingestion, Application Ingestion, Data Integration, and API Integration.
  • The role supports both project-based and operational data movement requirements and ensures high-quality, welldocumented, and reliable data flows across environments.
  • Success in this role requires hands-on IDMC expertise, strong SQL and Redshift familiarity, and a DevOps mindset for managing change and deployment across non-production and production environments.
  • This role partners closely with the broader data services team and requires strong collaboration skills
Responsibilities:
  • Implement complex, reusable IDMC integration pipelines using modules such as Mass Ingestion, Application Ingestion, Taskflows, and REST APIs.
  • Develop high quality and defect free ETL pipelines that source, transform, and deliver data into AWS Redshift and other targets.• Write and manage reusable, version-controlled integration components aligned with architectural and development standards.
  • Perform root cause analysis on failed jobs and recommend long-term remediation to improve resiliency.
  • Act as an expert resource on the IDMC application, repositories, dependencies and scheduling mechanism within Andover’s solution architecture.
  • Optimize and refactor mappings and workflows for performance, scalability, and operational efficiency.
  • Create and maintain source-to-target mappings, low-level technical specifications, integration documentation, and other relevant documentation as assigned.
  • Support QA processes by contributing to test case design, data validation, and defect resolution.
  • Provide production support including monitoring, issue resolution, job reruns, and incident tracking.
  • Participate in code reviews, technical design discussions, and the establishment of integration best practices.
  • Profile data and conduct data exploration to support integration design decisions.
  • Evaluate and implement new IDMC releases, features, agents, and connectors in coordination with other members of the Data Services team.
  • Participate in the evolution of integration best practices, reusable design patterns, and component standards.
  • Support deployment pipelines and participate in data lifecycle management and change control processes, ensuring high quality and low risk deployments across all environment promotion processes.
  • Collaborate with other members of the Data Services team to ensure integrated and reliable data solutions.
  • Work proactively and independently to address project requirements and articulate appropriately issues and challenges to reduce project delivery risks

Qualifications:
  •  Expertise in IDMC Data Integration components including Mass Ingestion, Application Ingestion, Taskflows, and API-based integration.
  • Expert understanding of cloud architecture.
  • Expertise in engineering, optimizing and troubleshooting ETL solutions at scale.
  • Advanced proficiency in translating business requirements into scalable technical solutions.
  • Strong problem-solving and debugging skills for resolving data pipeline and performance issues.
  • Proficiency with Redshift and PostgreSQL, including hands-on experience with DDL/DML, table creation, and stored procedures.
  • Proficiency with DevOps practices for data (e.g., version control, deployment pipelines).
  • Excellent verbal and written communication skills for interacting with both technical teams and business stakeholders.
  • Excellent time management.
Experience:
• 5+ years of experience in ETL development.
• 2+ years of experience in ETL development using Informatica PowerCenter or Informatica Data Management Cloud (IDMC).
• 2+ years of direct experience with AWS products, preferably Redshift.
• 2+ years of direct experience with DevOps tools and practices (e.g., Git, CI/CD, automated deployments).
• Experience with RESTful services, JMS messaging, or other integration patterns (SOA, EDA).

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