Senior Data Pipeline Engineer
2 weeks ago
Oxford Nanopore Technologies is a global leader in genomic sequencing technology, headquartered at the Oxford Science Park outside of Oxford, UK. We have offices and commercial presence across the US, APAC, and Europe.
Our mission is to empower anyone, anywhere to analyze any living thing through our revolutionary real-time sequencing platform. This unique technology offers scalable analysis from individual samples to large populations, enabling the examination of native DNA or RNA with short to ultra-long read lengths.
The Data Services Team
We are seeking a skilled and experienced Data Engineer to join our growing Data Services team within Global IT. This team is dedicated to providing reliable data sources, conducting insightful data analysis, generating comprehensive reports, and building robust machine learning infrastructure for the entire organization.
Your Role: Building and Maintaining Data Pipelines
As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining data pipelines that ensure the integrity and accessibility of our data. Your responsibilities will encompass:
- Understanding and extracting data from diverse source systems.
- Transforming and loading data into unified data warehouses or data lakes.
- Ensuring the seamless operation of data systems, guaranteeing timely data delivery.
- Collaborating closely with data analysts and software engineers to ensure accurate data transformation within ETL/ELT pipelines.
- Developing data pipelines that feed other data-driven systems, such as machine learning recommendation engines.
What We're Looking For: Your Skills and Experience
We are seeking a candidate with proven experience in data engineering who possesses strong communication skills and the ability to effectively collaborate with individuals from diverse technical backgrounds. You will be a problem-solver at heart, eager to contribute to projects and find innovative solutions.
Required Knowledge and Skills:
- Proficiency in SQL
- Python programming experience
- Experience with Pandas (or equivalent data frame libraries)
- Solid understanding of software engineering principles, including test-driven methodologies
- Familiarity with GIT software version control
Advantageous Skills:
- Experience working with AWS infrastructure (e.g., AWS Lambda serverless functions)
- Knowledge of MongoDB
- Terraform expertise
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