What are the responsibilities and job description for the Data Engineer I/II position at Berkshire Hathaway Energy?
Job Details
Job Description
This is a multi-level posting. Candidates may be considered for any of the posted levels, depending on their level of experience and depth of expertise.
Data engineers are mainly tasked with transforming data into a format that can be easily analyzed. They do this by developing, maintaining, and testing infrastructure for data generation. Data engineers work closely with data scientists and are largely in charge of architecting solutions for data scientists that enable them to do their jobs.
Data engineers generally have a bachelor's degree in computer science, information technology, or applied math, as well as a few data engineering certifications like Azure Certified Data Engineer. In addition, data engineers possess a plethora of technical skills and the ability to approach problems in a creative manner.
Working with significant independence and under general direction, position is responsible for the data management and design, implementation, maintenance and monitoring of database technologies and related software. Provides direct support to application and analytics teams. Conducts analysis, creates system specifications, develops, tests and implements engineering, scientific and business applications, operating systems, and file/database servers. Utilizes existing or new technology in the automation of processes. Evaluates software packages and provides recommendations to management. Provides actionable recommendations for improvements in application performance after analyzing underlying database-related infrastructure components. Write and maintain comprehensive documentation, including database dependencies, database inventory, basic database troubleshooting, and daily database operations documents. Recommends and implements improvements of client accessibility to corporate information.
Responsibilities
Designs, codes, tests documents, implements and maintain database utilities. Supports vendor-developed database implementation and periodic maintenance releases as required under supervision. Provides technical input to assist in development of project planning under supervision. Maintains data lake software at appropriate vendor-supported levels under supervision. Supports data management, movement, security, and performance. Implements data pipelines within Azure Data Factory. Participate in on-call rotation, including after hour and weekend support. Performs additional responsibilities as required or assigned.
Qualifications
Bachelor's degree in information systems, computer science or related technical field or equivalent work experience. (Typically four years of additional related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)
A minimum of two years additional direct related technical experience is required. Educational experience in database administration or systems analysis on one of the following or any combination: Oracle 11, MS SQL 2008, DB2 for mainframe v9, DB2 LUW v9 products.
Basic understanding of how to do performance tuning of enterprise level applications.
Effective oral and written communication skills utilizing your ability to work with other database administrators to learn and grow in your abilities. Effective analytical and problem-solving skills.
Ability to prioritize and handle multiple tasks and projects concurrently.
Employees must be able to perform the essential functions of the position, with or without an accommodation.
All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.
This is a multi-level posting. Candidates may be considered for any of the posted levels, depending on their level of experience and depth of expertise.
Data engineers are mainly tasked with transforming data into a format that can be easily analyzed. They do this by developing, maintaining, and testing infrastructure for data generation. Data engineers work closely with data scientists and are largely in charge of architecting solutions for data scientists that enable them to do their jobs.
Data engineers generally have a bachelor's degree in computer science, information technology, or applied math, as well as a few data engineering certifications like Azure Certified Data Engineer. In addition, data engineers possess a plethora of technical skills and the ability to approach problems in a creative manner.
Working with significant independence and under general direction, position is responsible for the data management and design, implementation, maintenance and monitoring of database technologies and related software. Provides direct support to application and analytics teams. Conducts analysis, creates system specifications, develops, tests and implements engineering, scientific and business applications, operating systems, and file/database servers. Utilizes existing or new technology in the automation of processes. Evaluates software packages and provides recommendations to management. Provides actionable recommendations for improvements in application performance after analyzing underlying database-related infrastructure components. Write and maintain comprehensive documentation, including database dependencies, database inventory, basic database troubleshooting, and daily database operations documents. Recommends and implements improvements of client accessibility to corporate information.
Responsibilities
Designs, codes, tests documents, implements and maintain database utilities. Supports vendor-developed database implementation and periodic maintenance releases as required under supervision. Provides technical input to assist in development of project planning under supervision. Maintains data lake software at appropriate vendor-supported levels under supervision. Supports data management, movement, security, and performance. Implements data pipelines within Azure Data Factory. Participate in on-call rotation, including after hour and weekend support. Performs additional responsibilities as required or assigned.
Qualifications
Bachelor's degree in information systems, computer science or related technical field or equivalent work experience. (Typically four years of additional related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)
A minimum of two years additional direct related technical experience is required. Educational experience in database administration or systems analysis on one of the following or any combination: Oracle 11, MS SQL 2008, DB2 for mainframe v9, DB2 LUW v9 products.
Basic understanding of how to do performance tuning of enterprise level applications.
Effective oral and written communication skills utilizing your ability to work with other database administrators to learn and grow in your abilities. Effective analytical and problem-solving skills.
Ability to prioritize and handle multiple tasks and projects concurrently.
Employees must be able to perform the essential functions of the position, with or without an accommodation.
All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
