05 Jan
Data Engineer II Spectrum Enterprise
Vacancy expired!
- Are you an experienced engineer passionate about supporting data operations by gathering and processing raw data at scale?
- Can you commit to a position measuring the quality, integrity, accuracy and completeness of data used in company-wide solutions?
- Do you desire a competitive salary with lucrative benefits and a focus on professional development?
- Competitive salary with bonus.
- Health, vision and dental insurance.
- 100% company match 401(k) up to 6%.
- Company funded retirement accumulation plan for an additional 3%.
- Education assistance.
- Pretax childcare spending account.
- Paid holidays, vacation days, personal days and sick days.
- Employee discount on spectrum services where available.
- Drive company-wide excellence through active and consistent support of all efforts to simplify and enhance the client experience.
- Support data operations for reporting, analytics, applications and data science by creating and maintaining scalable, reliable, consistent and repeatable systems.
- Drive data operations processes through the collection and processing of raw data at scale, including writing scripts, web scraping, calling application programming interfaces (APIs) and writing SQL queries.
- Maintain, improve, clean and manipulate data using extract, transform and load (ETL) processes.
- Profile data to measure quality, integrity, accuracy and completeness.
- Improve department processes by implementing tools, scripts, queries and applications for ETL and data operations.
- Deliver solutions by developing, testing and implementing code and scripts.
- Produce reports and uphold data delivery schedules for senior leadership to leverage.
- Maximize the department through the management of multiple data source lifecycles.
- Increase delivery speed of data by implementing workflow automation solutions.
- Perform additional duties related to the position as assigned.
- One or more years of experience as a Linux, Unix or CentOS system administrator.
- Two or more years of hands-on experience with RDMNS, SQL, scripting and coding.
- Intermediate knowledge of coding and scripting using Python, R or shell scripts.
- Extensive experience with SQL, Tableau and ETL techniques.
- Background in Linus and CentOS installation and administration.
- Knowledge of data storage that demonstrates the correct use of a file system, relational database or NoSQL variant.
- Track record of effectively using Spark and Hadoop.
- Detail-oriented with the ability to effectively prioritize and execute multiple tasks.
- Passion for learning new techniques, methods and concepts regarding data.
- Interest in learning programming languages.
- Effective written and spoken English communication skills with all levels of an organization.
- Familiar with JavaScript API, REST API or Data Extract APIs.
- Experience with data workflow or data preparation platforms, such as Infomatica, Pentaho or Talend.
- Knowledge of best practices and IT operations in an always-up, always-available service.
- History of working with data virtualization concepts and software, such as Denodo, Teiid and JBoss.
- Track record of receiving, converting and cleansing data.
- Able to work with visualization or business intelligence (BI) tools, such as Tableau.
- Bachelor's degree in engineering, computer science or a related field (required).
Vacancy expired!