Svitla Systems Inc. is looking for a Senior Data Engineer for a full-time position (40 hours per week) in Argentina. Our client is an automotive performance company.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field; equivalent experience considered.
Proven experience as a Data Engineer with 5 or more years of experience; or in a similar backend development role.
Strong proficiency in programming languages such as Python, Java, or Scala.
Hands-on experience with ETL/ELT tools and frameworks (e.g., DBT, etc.).
Extensive knowledge of relational and non-relational databases (e.g., SQL, NoSQL).
Expertise in building and managing enterprise data warehouses (e.g., Snowflake, Amazon Redshift, Google BigQuery) and data lakes (e.g., AWS S3, Azure Data Lake).
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their data services.
Experience with API integrations and data exchange protocols (e.g., REST, SOAP, JSON, XML).
Solid understanding of data governance, security, and compliance standards.




Strong analytical and problem-solving skills with attention to detail.
Excellent communication and collaboration abilities.

Nice to have

Certifications in cloud platforms (AWS Certified Data Analytics, Snowflake, etc.)
Experience with big data technologies (e.g., Apache Hadoop, Spark, Kafka).
Knowledge of data visualization tools (e.g., Tableau, Power BI) for supporting downstream analytics.
Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins).

Responsibilities

Design, develop, and maintain scalable backend systems to support data warehousing and data lake initiatives.
Build and optimize ETL/ELT processes to extract, transform, and load data from various sources into centralized data repositories.
Develop and implement integration solutions for seamless data exchange between systems, applications, and platforms.
Collaborate with data architects, analysts, and other stakeholders to define and implement data

📌 SENIOR DATA ENGINEER (Argentina)
🏢 Svitla Systems
📍 Argentina