Data Engineer - Remote, Latin America
100000 - 120000 USD per year
Company:
Location:Latin America
Languages:English
Seniority level:Middle, 3+ years
Experience:3+ years
Skills:
AWSPostgreSQLSQLAgileAmazon RDSBusiness IntelligenceData AnalysisETLGitMicrosoft Power BIMicrosoft SQL ServerTableauData engineeringLinuxCommunication SkillsProblem SolvingCustomer serviceData modelingTroubleshootingData management
Requirements:
- Experience with AWS services including S3, Athena, EC2, EMR, and Glue
- Ability to solve ongoing issues with operating the cluster
- Experience with the integration of data from multiple data sources
- Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS
- Experience with one or more of the following data integration platforms: Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar
- Knowledge of best practices and IT operations in an always-up, always-available service
- Experience with or knowledge of Agile Software Development methodologies
- Excellent problem-solving and troubleshooting skills
- Excellent oral and written communication skills with a keen sense of customer service
- Experience with collecting/managing/reporting on large data stores
- Awareness of Data governance and data quality principles
- Well-versed in Business Analytics including basic metric building and troubleshooting
- Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports
- Familiar with Web Services: XML, REST, SOAP
- Experience with Git or similar version control software
- Experience with integrations with and/or use of BI tools such as GoodData (preferred), Tableau, PowerBI, or similar
- Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift
- Familiarity with SaaS/cloud data systems (e.g. Salesforce)
- Data warehouse design: star-schemas, change data capture, denormalization
- SQL/DDL queries/Tuning techniques such as indexing, sorting, and distribution
- BS or MS degree in Computer Science or a related technical field
- 3+ years of Data Pipeline development such as SnapLogic or Datastage, Informatica, or related experience
- 3+ years of SQL experience (No-SQL experience is a plus)
- Experience designing, building, and maintaining data pipelines
Responsibilities:
- Develop and maintain data models for core package application and reporting databases
- Monitor execution and performance of daily pipelines, triage and escalate any issues
- Collaborate with analytics and business teams to improve data models and data pipelines
- Implement processes and systems to monitor data quality
- Write unit/integration tests, contribute to engineering wiki, and document work
- Perform data analysis required to troubleshoot data-related issues
- Work within AWS/Linux cloud systems environment in support of data integration solution
- Work closely with a team of frontend and backend engineers, product managers, and analysts
- Collaborate with team members, share knowledge, provide visibility of accomplishments, and follow directions
