Junior Data Engineer: Build Reliable Data Flows

DAIKIN COMFORT TECHNOLOGIES MFG INC; Waller (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Daikin Comfort Technologies Mfg Inc. is seeking a Data Engineer to establish a modern, secure data environment connecting data across the company. You will support developers, DBAs, analysts and data scientists to ensure reliable data delivery and data quality across projects.

Responsibilities include automating processes, building scalable ETL pipelines with SQL and AWS big data tools, and collaborating with multiple departments to address data infrastructure needs and improve data reliability.

Qualifications

• Bachelor's degree in Engineering, Data Science, Computer Science or related field.
• Master's degree preferred.
• Experience with data pipelines and data platforms is a plus.

Responsibilities

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
• Work with stakeholders across functions to assist with data-related technical issues and support their data infrastructure needs
• Develop ways to improve data quality, reliability, and efficiency
• Perform additional projects/duties to support ongoing business needs.

Skills

Analytical skills

Problem solving

Time management

Collaboration

Independence

Education

Bachelor's degree in Engineering, Data Science, Computer Science or related field

Master's degree preferred

Job description

Daikin Comfort Technologies Mfg Inc. is seeking a Data Engineer to establish a modern, secure data environment connecting data across the company. You will support developers, DBAs, analysts and data scientists to ensure reliable data delivery and data quality across projects.

Responsibilities include automating processes, building scalable ETL pipelines with SQL and AWS big data tools, and collaborating with multiple departments to address data infrastructure needs and improve data reliability.