 
						Senior Data Engineer
Há 15 horas
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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