Darwoft

Senior Data Engineer, Python, SQL, Spark, AWS

Darwoft

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Posted on:

Origin:  • 🇦🇷 Argentina

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Job Level

Senior

Tech Stack

AWSCloudJavaKafkaNoSQLPythonScalaSparkSQL

About the role

  • Design and build ingestion pipelines for healthcare claim and clinical data using modern data engineering tools Perform unit testing, debugging, and peer reviews to ensure code quality and performance Collaborate with engineering and product teams to optimize data architecture and integration processes Contribute to Agile ceremonies (sprint planning, grooming, demos) and update progress in Jira Troubleshoot and improve legacy data connectors while developing new scalable solutions Support data quality validation and deliver clear documentation for internal teams Participate in cross-functional sessions to improve development processes and delivery speed

Requirements

  • 5+ years of experience in data engineering roles Strong SQL skills and experience with relational database design Hands-on experience with Spark (preferably Scala) Working knowledge of NoSQL databases and cloud environments (AWS preferred) Experience with data ingestion tools and frameworks (e.g., Kafka, NiFi, etc.) Familiarity with Python and Java for data processing Bonus: Experience with healthcare datasets and analytics Strong analytical thinking and structured problem-solving skills Clear communication and ability to collaborate across teams Ownership mindset and ability to manage multiple priorities Interest in understanding the business value behind the data