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EY

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Senior Data Engineer – AWS

Cloud EngineerCloud EngineerFull TimeRemoteSeniorTeam 10,001+Since 1989H1B SponsorCompany SiteLinkedIn

Location

Brazil

Posted

17 hours ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishPortugueseAWSETLSQLTableau

Job Description

Senior Data Engineer – AWS

EY

• Develop and optimize data pipelines, integrate multiple information sources, and ensure data availability and quality for analytical and operational consumption. • Develop and maintain data pipelines using AWS services, particularly AWS Glue, Amazon Athena, and Amazon S3. • Design and implement ETL processes and data integration between different corporate systems. • Consolidate data from multiple sources into centralized, scalable environments. • Develop complex SQL queries for data transformation, modeling, and analysis. • Ensure data quality, performance, reliability, and data governance. • Support initiatives to migrate data platforms to AWS. • Work on evolving cloud data architectures. • Create and maintain dashboards, reports, and analytical solutions using data visualization tools. • Monitor production environments, identify bottlenecks, and resolve incidents. • Collaborate with Product Owners, business stakeholders, and technical teams to translate business needs into data solutions. • Participate in agile ceremonies and contribute to the continuous improvement of development processes. • Support Data Analytics, Business Intelligence, and Data Platform initiatives.

Job Requirements

  • Fluency in English.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related fields.
  • Strong experience in Data Engineering.
  • Solid experience with AWS, especially AWS Glue, Amazon Athena, and Amazon S3.
  • Strong knowledge of data modeling and data integration.
  • Experience developing ETL pipelines.
  • Advanced SQL knowledge.
  • Experience consolidating data from multiple sources.
  • Experience in complex corporate environments with large-volume datasets.
  • Knowledge of data architecture and analytics platforms.
  • Troubleshooting skills and the ability to resolve issues in production environments.
  • Good communication skills for interacting with technical and business areas.
  • Experience working with agile methodologies.
  • AWS Certified Data Engineer (advantageous).
  • AWS Solutions Architect or Data Analytics certifications (advantageous).
  • Experience with Alteryx (advantageous).
  • Experience with data visualization tools such as Tableau or ThoughtSpot (advantageous).
  • Knowledge of financial or insurance environments, or large enterprises with a strong data culture (advantageous).
  • Experience participating in data migration projects to AWS (advantageous).
  • Knowledge of Data Analytics and Business Intelligence (advantageous).
  • Experience with modern data and analytics ecosystems (advantageous).

Benefits

  • Food allowance
  • Meal voucher
  • Transportation allowance
  • Health insurance
  • Dental insurance
  • Corporate University
  • Wellhub
  • Profit-sharing (PLR)

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