19 часов назад
Integration Specialist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Integration Specialist (APIs, Streaming, ETL/ELT): Designing and maintaining data pipelines, API ecosystems, and streaming architectures that connect internal services with third-party platforms with an accent on reliable real-time and batch data flows. Focus on building RESTful and GraphQL APIs, optimizing Kafka or Kinesis pipelines, developing ETL/ELT workflows, and tuning databases for OLTP and OLAP workloads.
Company
supplies driveline and metal forming products to the global automotive industry, supporting electric, hybrid, and internal combustion vehicles through operations across 24 countries and more than 175 locations.
What you will do
- Design, build, publish, and document RESTful and GraphQL APIs using OpenAPI/Swagger standards.
- Configure API gateways, authentication flows, rate limiting, versioning, and deprecation strategies.
- Build and maintain real-time streaming pipelines with Kafka, Confluent, AWS Kinesis, or equivalent platforms.
- Develop ETL/ELT pipelines with orchestration, incremental loads, change data capture, data validation, and quality monitoring.
- Work with cloud data platforms, relational databases, and NoSQL stores while improving schemas, indexes, and query performance.
- Collaborate on technical design, code reviews, Agile/Scrum planning, incident response, root-cause analysis, and integration documentation.
Requirements
- 3–5 years of professional experience in integration engineering, data engineering, or a closely related software engineering role.
- Proficiency in Python, Java, or PL/SQL.
- Strong knowledge of RESTful API design, HTTP semantics, and API security standards.
- Hands-on experience with Kafka, Kinesis, or equivalent streaming technologies, plus ETL/ELT orchestration using Informatica, Talend, or ODI.
- Working knowledge of a cloud data warehouse or lakehouse platform and solid SQL skills across relational databases.
- Experience with Docker, CI/CD pipelines, technical documentation, data-flow diagrams, and API contracts.
Nice to have
- GraphQL federation, schema registries, Avro, or JSON Schema experience.
- Exposure to data mesh, data fabric, or iPaaS platforms such as MuleSoft or Informatica.
- Relevant AWS, Azure, or GCP certifications in data or integration services.
Culture & Benefits
- Work within a global automotive manufacturing organization with deep engineering roots.
- Collaborate with software engineers, data engineers, architects, business users, and data teams.
- Participate in Agile/Scrum delivery practices and cross-functional design and code reviews.
- Contribute to operational reliability through incident response, post-mortems, runbooks, and living architectural documentation.
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