Chief Data Architect

Há 12 horas

João Pessoa, Paraíba, Brasil beBeeBig Tempo inteiro US$10.000 - US$138.000
Big Data Engineer Job Summary">

We are seeking a highly skilled and motivated Big Data Engineer to design, develop, and implement scalable data pipelines in cloud technologies.

This is an exceptional opportunity for a talented professional to join our team and contribute to the development of cutting-edge data solutions.

">Key Responsibilities:
  • Develops and maintains data pipelines using SnapLogic and AWS services.
  • Designs and implements data models for core applications and reporting databases.
  • Monitors execution and performance of daily pipelines, troubleshoots issues, and escalates as needed.
  • Collaborates with analytics and business teams to improve data models and data pipelines.
  • Ensures high-quality data by implementing processes and systems to monitor data quality.
  • Writes unit/integration tests, documents work, and contributes to engineering wiki.
  • Performs data analysis to troubleshoot data-related issues.
Requirements:
  • Experience with SnapLogic, including writing pipelines with mappers, gates, logging, bulk loads, and Salesforce SOQL queries.
  • Experience with AWS services, including but not limited to S3, Athena, EC2, EMR, Glue.
  • Ability to solve ongoing issues with operating the cluster.
  • Experience integrating data from multiple sources.
  • Experience with various database technologies, such as SQLServer, Redshift, Postgres, RDS.
  • Experience with one or more data integration platforms, such as 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 Agile Software Development methodologies.
  • Excellent problem-solving and troubleshooting skills.
  • Excellent oral and written communication skills with a keen sense of customer service.
  • Experience 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.
  • Understands Integration architecture, including application integration and data flow diagrams, source-to-target mappings, data dictionary reports.
  • Familiar with Web Services, including 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, including MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift.
  • Familiarity with SaaS/cloud data systems, such as Salesforce.
  • Data warehouse design, including star-schemas, change data capture, denormalization.
  • SQL/DDL queries/Tuning techniques, including indexing, sorting, distribution.
Preferred Qualifications:
  • BS or MS degree in Computer Science or a related technical field.
  • 3+ years of Data Pipeline development, such as SnapLogic (preferred) or Datastage, Informatica, or related experience.
  • 3+ years of SQL experience (No-SQL experience is a plus).
  • Experience designing, building, and maintaining data pipelines.
">

Work Location: Home office

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