Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

When you join us at Thermo Fisher Scientific, you'll be part of an inquisitive team that shares your passion for exploration and discovery. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and chances to create significant contributions to the world.

Job Title: Data Engineer- KL6

When your part of the team at ThermoFisher 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 real-world impact, and you'll be supported in achieving your career goals.

• Experience in Data Lake, data analytics & Oracle, SQL Server or AWS Redshift type databases
• Bachelor's degree in computer science, Information Technology, Information Security or other technical field is desired, though 5years of direct and applicable professional experience working as a Network Engineer will be considered for a substitution.
• Hands on experience in using S3, AWS Glue jobs, S3 Copy, Lambda and API Gateway.
• Working SQL experience to solve SQL code. Redshift knowledge is an added advantage.
• Solid 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, Python ML libraries for data analysis, wrangling and insights generation.
• Experience in Python and common python libraries.
• Demonstrates a strong working experience with database availability, monitoring, backups and recovery, database security, high-availability, and disaster recovery for MySQL and PostgreSQL databases.
• Experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools.
• Support the execution and data integrity of strategic projects.
• Exposure to Kafka, Redshift, Sage Maker would be added advantage.
• Exposure to data visualization tools like Power BI, Tableau etc.
• Functional Knowledge in the areas of Sales & Distribution, Material Management, Finance and Production Planning.
• Having Certifications like AWS Certified Data Analytics, CCA Spark and Hadoop Developer or CCP Data Engineer will have more understanding about the tools.

• Undergraduate degree in Statistics, Computer Science, Data Science or a related field preferred; an MBA or equivalent consulting / working experience is strongly preferred, services background preferred
• demonstrated ability with five years of AWS Cloud on data integration with Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, MongoDB/DynamoDB ecosystems

• Total 8+ years of knowledge in the IT, Leading and developing BI and DW applications.
• 4+ Years of Experience in Data Lake, Data Analytics & Business Intelligence problems.
• Experience with relational databases, ETL (Extract-Transform-Load), and ETL and DB scripting language (Databricks, Oracle preferably)
• Solid experience in Data Lake using AWS Databricks, Apache Spark & Python

• Strong real-life experience in python development especially in pySpark in AWS Cloud environment.
• Led life cycle of ETL Pipelines and other cloud platform tools, including GitHub, Jenkins, Terraform, Jira, and Confluence.
• Highly hard-working, execution-focused, with a willingness to do "what it takes" to deliver results as you will be expected to rapidly cover a considerable amount of demands on data integration
• Ability to analyze trends associated with huge datasets.
• Excellent prioritization and problem-solving skills.
• Takes a broad view when approaching issues; using a global lens.
• Ability to learn from and train other team members

• Bachelor's degree in Computer Science or equivalent with 5+ years of experience in a data engineering role with a solid grasp of technical, business, and operational process requirements.