AWS Data Engineer – Glue, Spark, Redshift

🔥 15 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 58 days.
• No salary listed.

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EY

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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

• Design, develop, and maintain scalable data solutions and pipelines on AWS • Develop processes for data ingestion, transformation, and delivery • Create and maintain ETL/ELT frameworks • Develop processing solutions using Python and/or Scala • Create and optimize SQL queries, data models, and schemas • Develop and optimize workloads using AWS Glue, Spark/PySpark, and Amazon Redshift • Monitor and troubleshoot data pipelines and workflows • Optimize Spark jobs, performance, and data processing • Ensure data quality, reliability, integrity, and performance • Collaborate with Data Engineers, Data Scientists, Architects, Analysts, Application Teams, and business stakeholders • Support Data Governance, Data Quality, Security, and Operational Excellence initiatives • Investigate and resolve production incidents • Participate in architecture and code reviews • Contribute to the ongoing modernization and evolution of the AWS data ecosystem

🎯 Requirements

• Strong experience in Data Engineering and AWS data solutions • Hands-on experience with AWS Glue • Experience with Apache Spark and PySpark • Experience with Amazon Redshift • Experience with Python and/or Scala • Advanced SQL knowledge • Experience developing data pipelines and ETL/ELT processes • Knowledge of Data Warehousing, Data Lakes, Data Modeling, and Data Integration • Experience with Data Quality, pipeline monitoring, and troubleshooting • Experience working in Agile environments and collaborating with distributed teams • Professional English proficiency for day-to-day communication • Preferred: experience with Amazon S3, AWS Lambda, and Amazon Athena • Preferred: knowledge of Apache Airflow • Preferred: experience with Apache Iceberg • Preferred: knowledge of Data Governance • Preferred: AWS and/or Data Engineering certifications • Preferred: experience in Financial Services, Wealth Management, Asset Management, Capital Markets, FinTech, or Investment Banking

🏖️ Benefits

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

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