Data Engineer

hace 2 semanas


Mendoza, Mendoza, Argentina Techunting A tiempo completo
Job Description

At Techunting, we are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and optimizing scalable ETL pipelines using Apache Spark on Amazon EMR.

You will work closely with data scientists, analysts, and other engineering teams to define, implement, and maintain high-performance data infrastructure. Your primary focus will be on developing and maintaining automated data workflows and processes for efficient data ingestion, transformation, and loading.

Key Responsibilities:

  • Design and implement scalable ETL pipelines using Apache Spark on Amazon EMR
  • Collaborate with data scientists and analysts to define and implement high-performance data infrastructure
  • Develop and maintain automated data workflows and processes for efficient data ingestion, transformation, and loading
  • Implement best practices for data engineering, including monitoring, logging, and alerting for data pipelines
  • Optimize performance of data processing jobs and troubleshoot issues with large-scale distributed systems

Requirements:

  • 5+ years of experience in data engineering, with at least 3+ years working with Apache Spark and Amazon EMR
  • Strong programming skills in Python and Scala with a focus on performance tuning and optimization for Spark jobs
  • Deep understanding of distributed computing concepts, data partitioning, and resource management in large-scale data processing systems
  • Proficiency in building and maintaining ETL pipelines for structured and unstructured data
  • Hands-on experience with AWS services such as S3, Lambda, EMR, Glue, and RDS

Preferred Qualifications:

  • Experience with DevOps practices, including CI/CD, infrastructure as code (e.g., Terraform, CloudFormation), and containerization (e.g., Docker)
  • Experience with Kubernetes and container orchestration for Spark jobs
  • Familiarity with streaming data processing using tools like Kafka, Kinesis, or Flink
  • Experience with modern data lake architectures, including Delta Lake or Iceberg
  • AWS Certification (e.g., AWS Certified Big Data – Specialty, AWS Certified Solutions Architect) is a plus

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and experienced Data Engineer looking for a new challenge, please submit your application.


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