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SQA Data Engineer

Posted on Aug 15, 2019 by GreatCall

San Diego, CA 92101
IT
Immediate Start
Annual Salary
Full-Time
POSITION : SQA Data Engineer DEPARTMENT: Network Technology & Data Services REPORTING SUPERVISOR: Solutions Architect, Data Services DIRECT REPORTS: No FLSA: Non-Exempt EMPLOYMENT STATUS: Direct Hire TRAVEL REQUIREMENTS: N/A ABOUT THE TEAM: The Data Services team mission is to unify data across the enterprise to optimize the business decisions made at the strategic, tactical, and operational levels of the organization. We accomplish this by providing an Enterprise Data Warehouse, reporting platform, and business processes that can provide quality data, in a timely fashion, from any channel of the company and present it in such a manner to maximize the value of that data for both internal and external customers. ABOUT THE JOB: The Data Engineer (Quality) is responsible for designing, developing, and executing test plans for automated ETL processes. This role will be part of a team adopting and implementing new data technologies and tools like Snowflake, Spark, Hadoop, HDFS, MongoDB and/or others to provide faster, more accurate, and deeper insights into our products and services. As a member of the growing data services and business analytics team, this person will be a key contributor to the successful deployment of strategic future state capabilities critical for our business. As a Data Engineer who is focused on evaluating the quality of the solutions others build, this person is responsible for producing methods of testing the quality of code produced by our Data Engineering staff and adherence to Data Engineering developed standards. This individual will also monitor jobs for performance and error as well as make/suggest changes to address those concerns by working with the members of the Data Engineering team and the Database Administrator. This position will be responsible for designing, documenting, automating, executing, and maintaining test plans and reporting back to the author the results. This individual will implement moderate to complex test scripts to test the functionality. RESPONSIBILITIES: -Be an active participant in the development process and possess an understanding of the intent of the design and the desired outcomes of the Data Engineering team members. -Design, document, create, test, and report on the quality of the individual modules, jobs, functions, stored procedures, SQL scripts, etc. -Review for existing standards and adjust to new standards as they mature. -Under general guidance from other team members and the Quality Department, design effective and maintainable test scripts that can be automated or run as needed to ensure the solution meets the gathered requirements, as well as, meets reliability, accuracy, and performance standards. -Interact cross-functionally with a wide variety of people and teams. Work closely with development teams outside the Data Engineering group, including, Business Intelligence Developers, Product Development, and Data Scientists, who will use the data being delivered. -Produce and maintain accurate test plans and test system overview documentation. -Collaborate with various data providers to evaluate and help resolve data issues. -Occasionally take on special projects and additional duties. QUALIFICATIONS: Education: Bachelor's degree preferred or equivalent experience Experience: -Minimum 3 years of experience with SQL as a developer or as a member of a quality team required. -Minimum 1 year of experience with database design and/or development required. -Minimum 1 year of experience with MS SQL Server, MySQL, Oracle, PostgreSQL, or MongoDB preferred. -Experience with big data technologies like Snowflake, Spark, Scala, Kafka, Hbase, Hadoop, HDFS, AVRO, MongoDB are also a plus. Knowledge/Skills/Abilities: -Expert knowledge on how to test processes that affect data -Moderate to advanced working knowledge of Microsoft Transact-SQL (T-SQL) or ANSI SQL and demonstrated ability to create ad-hoc SQL queries to analyze data, create prototypes, etc. -Familiarity with visual data analysis using tools such as Tableau or other Business Intelligence platforms -Strong verbal and written communication skills Personal Attributes: -Detail oriented -Quality driven -Analytical -Passionate about data -Positive and creative attitude -Committed to personal development and professional growth

Reference: 745664084