Senior Data Engineer

4 semanas atrás

São Paulo SP, Brasil Nityo Infotech Tempo inteiro

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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