17 ene
Thermo Fisher Scientific
Xico
.When you are part of the team at Thermo Fisher Scientific, you'll do important work, like helping customers in finding cures for cancer, protecting the environment, or making sure our food is safe.
Your work will have a real-world impact, and you'll be supported in achieving your career goals.
**Location/Division Specific Information**Data Engineer II plays a key role in Enterprise Data Platform (EDP) Operations organization providing business continuity for critical business processes, IT systems, and IT solutions through project implementations, improvements, documentation, and operational support.
**How will you make an impact?
**Being part of an organization that provides data solutions for all businesses across Thermo Fisher Scientific, you will be instrumental in helping our business partners and customers with their data and analytics needs.
**What will you do?
**- Own and deliver enhancements associated with Data platform solutions.- Maintains and enhances scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.- Enhance/Support solutions using Pyspark/EMR, SQL and databases, AWS Athena, S3, Redshift, AWS API Gateway, Lambda, Glue, and other Data Engineering technologies.- Write complex queries and edit them as needed for implementing ETL/Data solutions.- Implement solutions using AWS and other cloud platform tools, including GitHub, Jenkins, Terraform, Jira, and Confluence.- Follow agile development methodologies to deliver solutions and product features by following DevOps, Data Ops and Dev Sec Ops practices.- Propose data load optimizations and continuously implement them to improve their performance.- Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.- Work with collaborators, including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.- Keep the data separated and secure across through multiple data centers and AWS regions.- Be available and participate in on-call schedule to address critical operational incidents and business requests.
**How will you get here?
**- Bachelor's degree in computer science required.- Having certifications like AWS Certified Data Analytics, CCA Spark and Hadoop Developer or CCP Data Engineer is preferred.
**Experience & Skills**:- 3+ years of overall IT Experience with at least 1+ years of experience in Data Lake, Data Analytics & Business Intelligence Solutions as AWS Data Engineer.- Full life cycle project implementation experience in AWS using Pyspark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, Glue, and other managed services.- Strong experience in building ETL data pipelines using Pyspark on EMR framework.- Hands on experience in using S3, AWS Glue jobs, S3 Copy, Lambda and API Gateway
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.