
Senior Data Engineer
Há 2 dias
Senior Data Engineer
Modelo de contratação: PJ.
Modelo de atuação: Híbrido em São Paulo - SP.
Pagamento em USD/h
- Mandatório Inglês Avançado/Fluente para Conversação.
Job Summary:
We are seeking a highly skilled and hands-on Senior Data Engineer with strong expertise in Python, PySpark, ETL pipelines, and cloud-based data platforms.
The ideal candidate will have a proven track record of designing and implementing scalable data solutions, with deep technical proficiency in data ingestion, transformation, and migration processes.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines using Python and PySpark.
- Work with large-scale data ingestion and migration projects across cloud and on-premise environments.
- Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions.
- Optimize data workflows for performance, reliability, and scalability.
- Implement and manage data lake and data warehouse architectures.
- Ensure data quality, integrity, and governance across all stages of the pipeline.
- Utilize AWS services (especially S3, Glue, Lambda, etc.) for cloud-native data engineering solutions.
- Participate in code reviews, technical design discussions, and mentoring junior engineers.
Required Skills & Qualifications:
- Strong hands-on experience in Python and PySpark for data processing and transformation.
- Proven expertise in building and managing ETL pipelines in production environments.
- Solid understanding of data warehousing concepts and experience with platforms like Snowflake, Redshift, or BigQuery.
- Experience with cloud platforms, preferably AWS (S3, Glue, EC2, Lambda).
- Ability to solve complex technical scenarios related to data ingestion, transformation, and migration.
- Familiarity with CI/CD pipelines and version control tools like Git.
- Excellent problem-solving and communication skills.
Preferred Skills:
- Experience with Apache Airflow or other workflow orchestration tools.
- Knowledge of DevOps practices in data engineering.
- Exposure to C#, .NET, ReactJS is a plus but not mandatory.
- Understanding of data governance, security, and compliance in cloud environments.
Educational Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
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