Senior Data Engineer

Key Skills

Aartificial intelligence, Agile methodologies, Algorithms, Big Data Technology, ETL/ELT technologies, Jupyter Notebook, Leadership, MATLAB Programming, NoSQL, Python Programming, Software Development, SQL

Job Description

About this role:

The data engineer will work with global cross-disciplinary teams to develop the next generation of digital analytics solutions for Carrier Refrigeration businesses.

Key Responsibilities:

• Coordinate with cross-functional teams to develop technical requirements for addressing business problems
• Work within engineering teams to understand the data needs for developing analytics solutions to address business problems
• Developing highly-efficient data pipelines that facilitate the ability to build data products
• Build the infrastructure for the optimal extraction, transformation and loading of data from a wide variety of data sources (including external data sources and services)
• Collaborate with data scientists and architects to deliver high quality data products
• Explore mechanisms to enhance data quality and reliability
• Ensures that information is in compliance with the regulatory and security policies in place
• Ensure strong commitment to milestones, quality and deliverables
• Strong documentation of integration pipelines
• Work with business to obtain an understanding of complex business problems and propose technical solutions

Basic Qualifications:

• BS in Engineering /Computer Science
• 3+ years of software development experience

Preferred Qualifications:

Other qualifications you may have that would be beneficial in this role include:

• BS or MS in Engineering, Data Engineering, Computer Science or another quantitative field
• Advanced experience programming with SQL (ETL, performance tuning, stored procedures)
• Technical expertise in data modeling
• Experience with both large-scale batch and real-time data pipelines
• Experience with large scale data analytics, replicated data storage, and operating services on prem or in the cloud
• Prior experience in development of or implementation of big data architectures
• Experience creating and managing integration pipelines from scratch
• Experience with large datasets with missing and noisy data
• Excellent communication and leadership skills
• Must have experience with designing relational SQL and NoSQL databases
• Experience with assimilating data through varied sources is valued
• Overall passion and curiosity for technology, ability to research new technologies
• Penchant for identifying and clarifying ambiguous requirements
• Must be self-motivated and detail-oriented
• A “can do” attitude with strong work ethic and a history of producing quality applications
• Experience with iterative development and agile methodologies