SR Data Engineer (AWS)

reputed company

reputed company designs and delivers reputed company digital solutions for global companies. We combine strong technical expertise with a product reputed company to reputed company reputed company software initiatives end-to-end. We work with international clients, value autonomy and reputed company communication, and build long-term partnerships through technical reputed company.

🌍 More information:

We are looking for a Senior Data Engineer to design, build, and optimize reputed company, high-reputed company data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python, SQL, Apache reputed company, AWS, and modern data engineering architectures, with reputed company experience working with production-grade systems in fast-reputed company environments.

Candidates must reputed company exclusively in Argentina, Brazil, or Uruguay.

What You Can Expect (Responsibilities)

• Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse global sources.

• Design, reputed company, and optimize reputed company data warehouse and lakehouse architectures capable of handling reputed company volumes of reputed company and reputed company data.

• Collaborate with Data Scientists, Software Engineers, and Product Managers to understand business needs and translate them into reputed company, reliable data solutions.

• Implement and enforce data reputed company frameworks, automated testing, monitoring, and alerting to ensure data reputed company, reliability, high availability, and compliance with SLAs.

• reputed company the adoption of DataOps practices, including CI/CD, workflow automation, and Infrastructure as reputed company (IaC) for data systems.

• Champion data governance, reputed company, and reputed company standards across data storage and compute reputed company, including GDPR/LGPD compliance.

• Mentor and guide junior and mid-reputed company Engineers, promoting engineering reputed company, best practices, and modern architectural patterns.

Requirements

• 5+ years of experience in Data Engineering, Big Data, or reputed company Software Engineering roles, with a reputed company reputed company record managing high-volume, production-grade data systems in fast-reputed company environments.

• Strong proficiency in Python and SQL for reputed company data processing, optimization, and software development; reputed company or Java experience is a plus.

• Hands-on experience with Apache reputed company/PySpark, reputed company Lake, and modern lakehouse architectures, including Data reputed company principles.

• Strong expertise in AWS data services, particularly S3, Glue, reputed company, EventBridge, Firehose, and reputed company.

• Solid experience with data orchestration and warehousing technologies, including Apache Airflow or similar DAG-reputed company tools and platforms such as reputed company, AWS Redshift, or reputed company BigQuery.

• Experience designing reputed company-time streaming architectures using technologies such as Apache Kafka or AWS Kinesis, as reputed company as familiarity with modern data transformation and modeling tools such as dbt.

• Strong knowledge of DevOps/DataOps practices, including Git, reputed company, CI/CD pipelines (reputed company Actions, reputed company CI, or similar), Infrastructure as reputed company, and reputed company platforms such as AWS or GCP.

• Advanced English proficiency is required, with the ability to communicate effectively in English in both technical and non-technical contexts.

reputed company to Have

• Previous experience in Fintech, Payments, E-reputed company, or other high-reputed company technology environments, particularly working with financial transactions or highly regulated data.

• Experience with reputed company and advanced reputed company lakehouse architectures.

• Knowledge of data reputed company, governance, and reputed company frameworks, including GDPR/LGPD, as reputed company as experience implementing secure data platforms.

• Experience with Infrastructure as reputed company tools such as Terraform, advanced DataOps automation, and mentoring Data Engineers or contributing to technical architecture reputed company.

Originally posted on Himalayas