Senior Data Engineer - AWS

Job not on LinkedIn

🔥 5 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 25%

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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Seekerh

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Seekerh is a recruitment and selection consultancy that connects companies with the right professionals through strategic hiring, cultural-fit assessment and rapid, tech-enabled processes. The firm provides tailored recruitment, selection and on-demand talent projects, acting as a strategic partner to support sustainable organizational growth and improved hiring outcomes.

📋 Description

• Design, develop, and evolve scalable data pipelines using AWS services • Develop robust processes for data ingestion, transformation, and provisioning (ETL/ELT) • Implement and optimize solutions using AWS Glue, S3, Lambda, Athena, Redshift, EMR, Step Functions, and EventBridge • Design, implement, and maintain Data Lakes and modern data architectures in an AWS environment • Develop solutions using Python and SQL with a focus on performance, scalability, and data quality • Work with large volumes of structured and unstructured data • Ensure data quality, integrity, security, and governance throughout the pipeline • Optimize queries, processing, and data consumption to reduce costs and improve performance • Collaborate with Analytics, Data Science, Software Engineering, and Architecture teams to build strategic solutions • Implement monitoring, observability, and error handling for data pipelines • Participate in defining standards, best practices, and the evolution of the platform's data architecture • Support analysis and resolution of critical incidents related to the data environment

🎯 Requirements

• Proven experience as a Data Engineer in AWS environments • Strong knowledge of core AWS services used in data architectures, such as S3, Glue, Athena, Redshift, Lambda, EMR, and IAM • Solid experience developing data pipelines using ETL/ELT patterns • Experience with Apache Spark/PySpark and Delta Lake • Advanced knowledge of Python and SQL • Experience with data modeling for analytical environments and Data Lakes • Knowledge of Infrastructure as Code (IaC) using AWS CloudFormation or Terraform • Experience with version control using Git and CI/CD practices • Understanding of partitioning, query optimization, and distributed processing • Experience with monitoring, observability, and troubleshooting data pipelines • Knowledge of cloud data architecture and best practices for security and data governance • Strong analytical skills, problem-solving ability, and experience working in collaborative teams • Preferred: experience with Databricks on AWS • Preferred: familiarity with Apache Airflow or other workflow orchestration tools • Preferred: experience with event-driven architectures • Preferred: knowledge of Apache Iceberg or Apache Hudi • Preferred: experience with Docker and Kubernetes • Preferred: experience on Machine Learning, AI, and MLOps projects • Preferred: experience in large enterprise environments and mission-critical projects • Preferred: AWS certifications focused on Data Engineering, Data Analytics, or Solutions Architecture

🏖️ Benefits

• Employment model can be either Contractor (PJ — no benefits) or CLT (Brazilian payroll with benefits)