Data Engineer (Senior) ID40199

AgileEngine; San Miguel de Tucumán; Presencial; ARS 6.500.000 - 9.750.000; Jornada completa

Descripción de la vacante

A leading tech company in Tucumán is looking for a Senior Data Engineer to design and optimize data infrastructure. The role includes managing AWS services and collaborating with teams to deliver efficient data solutions. Candidates should have extensive experience in data engineering and big data technologies. This position offers competitive USD-based compensation, professional growth opportunities, and flexible work arrangements.

Servicios

Professional growth with mentorship and TechTalks

Competitive compensation

Exciting projects with top-tier clients

Flextime for optimal work-life balance

Formación

• 5+ years of experience in data engineering, software engineering, or related roles.
• Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift).
• Deep knowledge of big data ecosystems, including Hadoop and Apache Spark.
• Upper-Intermediate English level.

Responsabilidades

• Design, build, and maintain large-scale data pipelines in AWS.
• Develop and optimize distributed data workflows using Hadoop, Spark.
• Collaborate with data scientists and product teams for data solutions.
• Implement best practices for data governance, security, and compliance.
• Monitor and troubleshoot data systems and pipelines.

Conocimientos

AWS services

Hadoop

Apache Spark

SQL

Python

Java

Scala

Educación

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Herramientas

Airflow

Docker

Kubernetes

Descripción del empleo

About the role

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

What you will do

• Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
• Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
• Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
• Implement best practices for data governance, security, and compliance.
• Monitor, troubleshoot, and improve the performance of data systems and pipelines.
• Mentor junior engineers and contribute to building a culture of technical excellence.
• Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
• 5+ years of experience in data engineering, software engineering, or related roles;
• Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
• Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark (PySpark, Spark SQL, streaming);
• Strong SQL skills and experience with relational and NoSQL databases;
• Proficiency in Python, Java, or Scala for data processing and automation;
• Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
• Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
• Excellent problem-solving skills and ability to work in fast-paced environments;
• Ability to work German TimeZone (6 - 7 am to 2-3 pm Brazil/ ART time),
• Upper-Intermediate English level.

NICE TO HAVES

• Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with data governance, lineage, and catalog tools.
• Previous leadership or mentoring experience.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.