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Data Engineer 3 (REMOTE)
For further inquiries regarding the following opportunity, please contact one of our Talent Specialists
Lavanya | 224 369 0873
Title: Data Engineer 3 (REMOTE)
Location: Remote
Duration: 9 Months
Location: Remote
Duration: 9 Months
Description:
Maintain, build, and optimize data warehouse, developing ETL solutions, automated data flow, and analytics "as-a-service" environment.
Design and develop scalable, high-performance data processing solutions on AWS using tools like AWS Lambda, Step Functions, Amazon Redshift, and AWS Glue.
Collaborate with stakeholders across the organization to understand business requirements and design data solutions that meet their needs
Monitor actively the health of the environment in terms of data integrity, data pipeline performance, and overall security, to ensure resolutions are developed, implemented, and communicated efficiently
Implement and maintain data governance policies and procedures to ensure data quality, security, and compliance
Develop and maintain data architecture and infrastructure to support the growth and expansion of the data platform
Design and develop tools to constantly monitor the health of the environment and ensure incidents communicated efficiently and resolved quickly.
Mentor and guide junior data engineers in the team
Drive and implement automation to empower the organization to scale efficiently and with flexibility
Keep up to date with new technologies and methodologies related to data engineering and apply them to improve the data platform
Summary:
Design and develop scalable, high-performance data processing solutions on AWS using tools like AWS Lambda, Step Functions, Amazon Redshift, and AWS Glue.
Collaborate with stakeholders across the organization to understand business requirements and design data solutions that meet their needs
Monitor actively the health of the environment in terms of data integrity, data pipeline performance, and overall security, to ensure resolutions are developed, implemented, and communicated efficiently
Implement and maintain data governance policies and procedures to ensure data quality, security, and compliance
Develop and maintain data architecture and infrastructure to support the growth and expansion of the data platform
Design and develop tools to constantly monitor the health of the environment and ensure incidents communicated efficiently and resolved quickly.
Mentor and guide junior data engineers in the team
Drive and implement automation to empower the organization to scale efficiently and with flexibility
Keep up to date with new technologies and methodologies related to data engineering and apply them to improve the data platform
Summary:
The main function of a data engineer is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. A typical data engineer is responsible for planning, coordinating and implementing security measures to safeguard the computer database.
Job Responsibilities:
Test programs or databases, correct errors and make necessary modifications.
Modify existing databases and database management systems or direct programmers and analysts to make changes.
Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions.
Skills:
Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
Basic ability to work independently and manage ones time.
Basic knowledge of database management software.
Education/Experience:
Associate's degree in computer programming or equivalent training required. 5-7 years experience required.
Need someone strong is Python, AWS, sql and certified ideally
About us:
DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
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