
Senior Data Engineer
1 dia atrás
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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