DATA ENGINEER Location Atlanta, GA Contract 12 months Objective The Data Engineer II will work on collecting, storing, processing, and analyzing huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company. Because we work on the cutting edge of a lot of technologies, this job requires a creative problem solver, resourced in getting things done, and productive working independently or collaboratively. Duties and Responsibilities 20 time of spend on Data - Analysis, Modeling, Architecture, etc. - Completes work with some independence and some guidance from senior members of the team. Gather and process raw data at scale. Defining data retention policies. Work closely with our data science team (ad hoc analysis of the data). Acquire data from primary or secondary sources and maintain databasessystems. Create data sets and tables to store data. Make and test database schema changes when needed. Identify user needs to create and administer the data lake. Ingest and move data between databases that includes relational and no-SQL databases like Oracle, SQL Server, MongoDB, Elastic Search, Google Bigquery etc. Implement security measures by encrypting sensitive data. 50 of time spend on ETL Development - Completes work with some independence and some supervision. Build and implement ETL processes. Modify ETL jobs to improve performance and efficiency 30 of time spend on Support Troubleshoot medium complexity problems Education Minimum 4 yrs of Bachelors degree in Computer Science, Statistics, Applied Mathematics or equivalent. Work Experience with integration of data from multiple data sources utilizing ETL tools (Talend, Informatica, PDI, Kapow etc.) Strong knowledge of and experience with database systems (Oracle, SQL Server, p Understanding of distributed computing principles, Programming Language (Python, Java, C, etc.) Experience with Big Data (Hadoop, Horton Works,etc.) and NoSQL databases, such as (Hbase, Spark, Hive, Cloudera etc.) 2 yrs Experience working with cloud technologies - GCP, AWS, Azure, etc. Knowledge, Skills and Abilities World League IT Competencies Business Impact Intermediate Business Domain knowledge. Strategic Architect Intermediate level understanding of technical area relevant to role. Influential Networker Influential within team. Governance Protection Follows Risk management protocols. Culture of Innovation Identifies opportunities for improvement within work area. Leadership 2020 Competencies Intellectual Strength Demonstrated success working with abstract requirements. Intermediate Ability to identify issuesgaps at early stage. Intermediate Problem solving. Demonstrated ability to apply concepts appropriately. Agility Ability to respond to customer needs with speed and accuracy. Willingness and eager to learn is curious. Excellent Execution Ability to follow standards directions. Ability to multi-task and prioritize work. Accountable for personal results and teamwork. Asks for guidance as needed. Leadership Sense of ownership Commitment. Values diverse perspectives. Has a high standard for own work and result. Connecting Effective verbal and written communication skills. Ability to communicate commitment and work collaboratively. Partnering Basic situation analysis combining the technical and business point of view. Associated topics: data analytic, data engineer, data integration, data manager, data scientist, data warehouse, database, etl, sql, sybase
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.