Sr Data Engineer

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team youll find meaningful work that impacts the world. Join us in bringing our Mission to life daily to help customers make the world healthier cleaner and safer. We provide resources to support your career goals and develop solutions for global challenges like environmental protection food safety and cancer cures.

How You Will Get Here :

• Proven experience (5 years) in data engineering with a strong understanding of modern data architecture pipelines and operations.
• 5 years of demonstrated expertise in Databricks and Spark Python Apache SQL including pipeline creation automation and monitoring
• 5 years or more hands-on experience crafting and administrating relational database solutions including AWS Delta Lake Oracle and AWS Redshift
• 5 years or more experience handling and managing AWS products including Spark Glue Kafka Elastic Search Lambda S3 Redshift and others
• Strong problem-solving skills with debugging performance tuning and AI / ML model deployment in cloud environments
• Prior experience with tools like Power BI Cognos SQL Server and Oracle is a strong plus
• Deep understanding of data modeling metadata management and data governance frameworks
• Experience building scheduling and monitoring data workflows using Apache Airflow
• 5 years of solid experience in DevOps / DataOps or equivalent roles version control platforms (such as GitHub) and continuous integration and delivery pipelines
• Demonstrated experience in leading engineering projects and managing project lifecycles
• A self-starter with the drive and ability to deliver complex solutions rapidly
• Communicate effectively with technical and non-technical personnel in oral and written form
• Ensure stable and timely data pipelines that support period-end and quarter-end financial close processes enabling accurate reporting and reconciliations
• Monitor solve and optimize finance workflows during close cycles to guarantee data completeness performance and SLA compliance

Non-Technical Qualifications :

Compensation and Benefits

This position may also qualify for a variable annual bonus depending on company team and / or individual performance results aligned with company policy. We provide a comprehensive Total Rewards package that our U.S. colleagues and their families can rely on which includes :

For more information on our benefits please visit : and Benefits

The salary range estimated for this position based in California is $103100.00$154700.00.

This position may also be eligible to receive a variable annual bonus based on company team and / or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on which includes :

A choice of national medical and dental plans and a national vision plan including health incentive programs

Employee assistance and family support programs including commuter benefits and tuition reimbursement

At least 120 hours paid time off (PTO) 10 paid holidays annually paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave) accident and life insurance and short- and long-term disability in accordance with company policy

Retirement and savings programs such as our competitive 401(k) U.S. retirement savings plan

Employees Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits please visit : Experience :

Senior IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 103100 - 154700