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Senior Software Engineer - Data (Ai)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer - Data (AI): Designing and building data-driven microservices and workflows using Java, Python, and Spring Batch to power analytics, machine learning, and advanced search. Focus on optimizing data storage models and implementing data observability, debugging, and monitoring.

Location: Hybrid

Company

hirify.global is the software supply chain security company providing end-to-end software supply chain security solutions.

What you will do

  • Design, build, and maintain data pipelines, ETL/ELT workflows, and scalable data lakes.
  • Develop end-to-end microservices with backend (Java 5+, Python 5+, Spring Batch 2+) and frontend (React or any).
  • Deploy, publish, and operate services in AWS ECS/Fargate using CI/CD pipelines (Jenkins, GitOps).
  • Architect and optimize data storage models in SQL (MySQL, PostgreSQL) and NoSQL databases.
  • Implement web scraping and external data ingestion pipelines for data enrichment.
  • Apply ML techniques to data-driven insights and advanced data search capabilities.

Requirements

  • 5+ years of experience as a Data Engineer or a Software Backend engineering role.
  • Strong programming skills in Python, Scala, or Java.
  • Hands-on experience with HBase or similar NoSQL columnar stores.
  • Hands-on experience with distributed data systems like Spark, Kafka, or Flink.
  • Proficient in writing complex SQL and optimizing queries for performance.
  • Familiarity with CI/CD pipelines (Jenkins or similar).

Nice to have

  • Experience working with Databricks, dbt, Terraform, or Kubernetes.
  • Familiarity with streaming data pipelines or real-time processing.
  • Exposure to data governance frameworks and tools.

Culture & Benefits

  • Value diversity and inclusivity.
  • Offer perks such as parental leave and diversity and inclusion working groups.
  • Provide flexible working practices to allow employees to show up as their whole selves.

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