ETL Developer

Kentro

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Maintain and modernize data integration workflows across legacy and cloud platforms
Support existing ETL in on-premise data platforms
Transition data pipelines to modern cloud-based patterns
Design, build, and maintain scalable data pipelines for batch and real-time processing
Develop robust ETL/ELT processes to ingest, cleanse, transform, and load data
Optimize data storage, retrieval, and indexing for performance and cost-effectiveness
Integrate data solutions with AI/ML platforms and analytics tools
Troubleshoot, debug, and resolve data pipeline and infrastructure issues
Implement data quality, monitoring, and validation frameworks
Document data flows, schemas, and engineering processes
Translate business and analytics requirements into scalable data engineering solutions
Ensure data security, integrity, and compliance in all data engineering activities

4+ years of relevant data engineering experience
Bachelor’s degree in computer science, engineering, or related field
Experience using PL/SQL, SAP Data Services, Python, SQL, Airflow, and Glue
Experience supporting ETL systems in enterprise or regulated environments
Strong understanding of data modeling, ETL processes, and data architecture principles
Proficiency in relational and non-relational database systems
Familiarity with AWS services including Redshift, Glue, S3, and EMR
Familiarity with Azure services including Data Lake, Synapse, and Data Factory
Knowledge of big data technologies and distributed computing frameworks
Understanding of data warehousing concepts, star/snowflake schemas, and data mart design
Experience with version control, CI/CD pipelines, and containerization
US Citizenship

Master’s degree in computer science, engineering, or related field
In-depth knowledge of Palantir Foundry including ontology, data lineage, and pipeline development
Experience in regulated industries such as aviation, healthcare, government, or finance
Familiarity with data catalog and metadata management tools

Skills