Data Engineer II

hace 1 día

Tijuana, Baja California, México Thermo Fisher Scientific A tiempo completo
About the Role

We are seeking a highly skilled Data Engineer II to join our Enterprise Data Platform (EDP) Operations organization at Thermo Fisher Scientific. As a key member of our team, you will play a critical role in providing business continuity for critical business processes, IT systems, and IT solutions through project implementations, improvements, documentation, and operational support.

Key Responsibilities
  • Own and deliver enhancements associated with Data platform solutions.
  • Maintain and enhance scalable data pipelines and build 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.
Requirements
  • 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.
  • 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.
  • Working SQL experience to troubleshoot SQL code. Redshift knowledge is an added advantage.
  • Strong experience in DevOps and CI/CD using Git and Jenkins, experience in cloud native scripting such as CloudFormation and ARM templates.
  • Experience working with Python and Python ML libraries for data analysis, wrangling, and insights generation.
  • Experience using Jira for task prioritization and Confluence and other tools for documentation.
  • Strong analytical experience with databases in writing complex queries, query optimization, debugging, user-defined functions, views, indexes, etc.
  • Experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools.
  • Exposure to Kafka, Redshift, and Sage Maker would be an added advantage.
  • Exposure to data visualization tools like Power BI, Tableau, etc.
What We Offer

We offer competitive remuneration, annual incentive plan bonus scheme, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other

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