Senior Data Engineer – AWS, Data Platforms

🔥 5 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

🏥 Healthcare

⚖️ Legal

📣 Marketing

Healthcare • Legal • Marketing

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• Work on an international nearshore project, contributing to the development, support, and modernization of data platforms in the financial services sector • Design, develop, maintain, and optimize scalable and reliable data pipelines • Build data ingestion, integration, and transformation processes using SQL, Python, and distributed processing technologies • Develop and support AWS-based data solutions using Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, and AWS Lambda • Support the development and evolution of Data Lakes, Data Warehouses, and modern data platforms • Implement ETL and ELT processes aligned with technical and business needs • Develop solutions with Apache Spark or PySpark to process large volumes of data • Participate in architecture discussions and contribute to secure, scalable, and sustainable solutions • Monitor and optimize the performance of pipelines, queries, transformations, and cloud workloads • Investigate and resolve issues related to data ingestion, processing, storage, and delivery • Conduct root cause analyses and implement corrective actions • Ensure data quality, integrity, security, and governance • Collaborate with architects, software engineers, analysts, and business stakeholders • Support cloud migration projects, platform modernization, and data architecture evolution • Implement automation, version control, CI/CD, and DataOps practices • Ensure compliance with technical standards, internal controls, and regulatory requirements • Create and maintain technical documentation, data flows, and operational procedures • Contribute to standardization, knowledge sharing, and continuous improvement

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field • Advanced English proficiency (C2), with the ability to communicate in an international environment • Experience designing, developing, and supporting scalable data pipelines • Advanced knowledge of SQL and Python • Experience with ETL and ELT processes, data ingestion, integration, and transformation • Experience with AWS data services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, and AWS Lambda • Knowledge of data modeling and Data Warehouse and Data Lake architectures • Experience with distributed processing using Apache Spark or PySpark • Ability to develop, monitor, optimize, and troubleshoot data pipelines • Knowledge of data quality, security, and governance practices • Experience working in Agile environments and collaborating with multidisciplinary and distributed teams • Analytical mindset, autonomy, clear communication, and strong attention to delivery quality • Preferred: experience with Databricks or Snowflake; Apache Airflow or equivalent tools; dbt; Kafka or other messaging and streaming technologies; Terraform and Infrastructure as Code; Git, automation, and CI/CD; DataOps practices; data platform migration, modernization, or transformation projects • Preferred: experience in financial institutions or other regulated environments • Certifications related to AWS, Azure, Databricks, Snowflake, or data engineering

🏖️ Benefits

• Medical and dental coverage • Childcare assistance • Benefits platform and exclusive EY discounts • Education incentives • Birthday day off • Gympass/Wellhub • Profit-sharing plan • Private pension plan • Meal and/or food and transportation vouchers • Flexible work environment • Diversity and inclusion programs and groups • Future-focused skills and world-class experiences