Vaga de parceiro

Senior Data Management Engineer - Buenos Aires / PE

Disponível para Assinantes
Salvar nos Favoritos
  • Compartilhe:

Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • S.
  • call analytics company is seeking a Senior Data Management Engineer to drive innovation, harness the power of data, and deliver actionable insights to clients.
  • In this impactful role, you will design scalable systems, build dynamic user interfaces, and enhance real-time analytics tools, enabling businesses to make smarter, faster decisions.
  • As part of the Product Engineering Team, youll collaborate across disciplines to develop robust APIs, high-performance data pipelines, and cutting-edge UIs, merging full-stack development with data platform engineering.
  • Your work will shape the future of call analytics and customer engagement.
  • Key Responsibilities API & Microservices Development : Design and maintain scalable APIs and microservices for real-time data ingestion, processing, and analytics, leveraging Azure cloud-native technologies (e.
  • g.
  • , Azure Functions, Event Hubs, Cosmos DB).
  • Data Pipeline Optimization : Collaborate with data engineers to build and refine real-time data pipelines using Azure Data Explorer, Snowflake, and Kafka/Confluent.
  • ETL and Data Integration : Create efficient ETL workflows and perform complex data ingestion and transformation using .
  • NET/C#, SQL, and PySpark.
  • Data Architecture & Storage : Design and manage data lakes and storage solutions using Azure Data Lake, Parquet, and Delta Tables.
  • Real-Time Processing : Work with big data and real-time data processing frameworks to support high-volume analytics.
  • Legacy System Modernization : Lead the migration of legacy platforms to a centralized "data of record" system, ensuring data integrity, eliminating redundancy, and improving operational efficiency.
  • Pipeline Innovation : Develop configurable pipelines via APIs to support real-time omnichannel conversational analytics and integration with tools like Twilio.
  • Performance Optimization : Optimize data processing and storage solutions for scalability, cost-efficiency, and high performance.
  • Qualifications Bachelors or advanced degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience).
  • 5+ years of experience in full-stack development, specializing in data-driven platforms and scalable systems.
  • Expertise in C# and .
  • NET technologies (preferably .
  • NET 8).
  • Proficiency with Azure cloud services (e.
  • g.
  • , Data Explorer, Functions, Event Hubs, Cosmos DB).
  • Hands-on experience with Snowflake and optimizing data pipelines for real-time analytics.
  • Familiarity with real-time messaging systems like Kafka/Confluent .
  • Advanced knowledge of modern web frameworks such as React , Angular , or Vue.
  • js .
  • Experience in building and consuming RESTful APIs and working with microservices architectures .
  • Strong background in data ingestion , ETL workflows , and real-time analytics pipelines .
  • Proven skills in query performance optimization and efficient data processing.
  • Preferred Skills Experience with Java or Scala is a plus.
  • Familiarity with CI/CD tools like Azure DevOps or GitHub Actions.
  • Understanding of Agile methodologies (Scrum, Kanban).
  • #J-18808-Ljbffr

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

Envie esta vaga para um amigo!

 

Cadastro Inicial

Preencha os campos abaixo
  • Ao criar uma conta, você aceita nossa Política de Privacidade e nosso Termo de Adesão
 

Acesse sua Conta

Preencha os campos abaixo

ou acesse com seu provedor
 

Recuperação de Dados de Acesso

Informe seu e-mail cadastrado