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TL;DR
Kharon is seeking a full-time
Data Engineer
based in
Madrid.
This role requires in-office attendance at least 4 days per week, with additional flexibility awarded after complete onboarding.
RESPONSIBILITIES
Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks.
Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake.
Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake.
Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems.
Interact and develop with internal and external APIs.
Work with product and business teams to define novel and critical metrics for the business.
Follow good engineering practices like documentation, diagrams, and unit/validation tests.
Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.
QUALIFICATIONS
2+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn.
BS/MS in Computer Science or equivalent experience in related fields.
Experience in Python, Pandas, PySpark, and Notebooks.
SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc.
Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence.
Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent.
Container-based deployment experience using Docker and Kubernetes.
Strong verbal and written communication skills.
NICE TO HAVE
Experience working with or data modeling for graph databases like Neo4
📌 Data Engineer (Madrid)
🏢 Kharon
📍 Madrid