Sr. Developer

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

COMPANY:                            Thermo Fisher Scientific Inc.

LOCATION:                            168 Third Avenue, Waltham, MA 02451

TITLE:                                    Sr. Developer

HOURS:                                  Monday to Friday, 8:00 am to 5:00 pm

DUTIES:                                 •           Work within the Enterprise data platform Delivery team to develop data driven applications and automations across a variety of infrastructure (both On-Prim and Cloud).
•           Collaboratively work in an Agile team to design, develop and maintain data structures for the Enterprise data platform.
•           Work on processes that interface with multiple systems including AWS, Oracle, Middleware and ERPs.
•           Work on development projects, pilots, and advance best design practices.
•           Lead, design, develop, deploy, and maintain mission critical data applications for Enterprise data platform.
•           Act as a technical liaison to relevant Agile delivery teams.
•           Participate in all phases of the Enterprise Data platform development life cycle as appropriate, including gathering customer requirements, defining technical requirements, creating high level architecture diagrams, data validation, and training sessions.
•           Lead different aspects of data analytics, data quality, machine learning, data acquisition, visualization, and design and analysis tasks.
•           Coordinate & work closely with architecture and data operations teams.
•           Develop documentation and training materials and participate with customer groups in planning for longer-term systems enhancements.
 Can work remotely or telecommute.                                                                                                                                   

REQUIREMENTS:                  MINIMUM Education Requirement: Bachelor’s degree in Computer Science, Computer Engineering, or related field of study. MINIMUM Experience Requirement:  7 years of Software Engineering, Data Engineering, or related experience.  

Required knowledge or experience with:
•           Leading and developing BI and DW applications;
•           Data Lake, Data Analytics & Business Intelligence Solutions;
•           ETL Tools such as Informatica, Data bricks, or AWS Glue;
•           Data Lake using AWS Data bricks, Apache Spark & Python;
•           Experience in a DevOps environment, data integration and pipeline development;
•           AWS Cloud on data integration with Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, and MongoDB/DynamoDB ecosystems;
•           Development of data warehouse projects/applications (Oracle & SQL Server);
•           Python development in pySpark in AWS Cloud environment;
•           Python and common python libraries;
•           Analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, and indexes; and
•           Source control systems such as GitHub, Bit bucket, and Jenkins build and continuous integration tools.

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