Bluelight Consulting - Data Engineer - Remote, Latin America
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Requirements
• Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue. • Ability to solve any 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. • Develop and maintain data models for core package application and reporting databases to describe objects and fields for support documentation and to facilitate custom application development and data integration. • Monitoring execution and performance of daily pipelines, triage and escalate any issues. • Collaborates with analytics and business teams to improve data models and data pipelines that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes. • Writes unit/integration tests, contributes to engineering wiki, and documents work. • Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues. • Work within AWS/Linux cloud systems environment in support of data integration solution • Works closely with a team of frontend and backend engineers, product managers, and analysts. • Teamwork: Collaborate with team members. Share knowledge, provide visibility of interpersonal accomplishments and follow directions when provided.
Responsibilities
• Develop and maintain data models for core package application and reporting databases to describe objects and fields for support documentation and to facilitate custom application development and data integration. • Monitoring execution and performance of daily pipelines, triage and escalate any issues. • Collaborates with analytics and business teams to improve data models and data pipelines that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes. • Writes unit/integration tests, contributes to engineering wiki, and documents work. • Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues. • Work within AWS/Linux cloud systems environment in support of data integration solution • Works closely with a team of frontend and backend engineers, product managers, and analysts. • Teamwork: Collaborate with team members. Share knowledge, provide visibility of interpersonal accomplishments and follow directions when provided.
Benefits
• Competitive salary and bonuses, including performance-based salary increases. • Generous paid-time-off policy • Flexible working hours • Continuing education, training, conferences • Company-sponsored coursework, exams, and certifications • Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
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