Senior Data Engineer

New
J
JobgetherData engineering
The role can be performed remotely from Brazil.Full-TimeSenior
Salary not disclosed
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Job Details

Languages
Fluent English; the original listing references B2 (upper-intermediate) proficiency.
Experience
Extensive experience in data engineering
Required Skills
PythonSQLApache AirflowGCPAmazon Web ServicesSparkScalaDatabricksPySpark

Requirements

  • Have extensive experience in data engineering, distributed processing, and large-scale data pipeline design.
  • Demonstrate advanced SQL proficiency, including complex query development and optimization.
  • Have experience with relational and non-relational databases, including performance tuning and scalability.
  • Have hands-on experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  • Have practical experience with Databricks or Apache Flink, orchestration tools such as Apache Airflow or Google Cloud Composer, and streaming services.
  • Have hands-on experience with Apache Spark using Scala or PySpark.
  • Have good programming skills in Python or Java.
  • Have experience designing and implementing scalable Data Lake and Lakehouse architectures.
  • Be able to design end-to-end data solutions and make sound technical decisions.
  • Be fluent in English; the original listing references B2 (upper-intermediate) proficiency.
  • This opportunity is exclusively for people with disabilities (PWD).

Responsibilities

  • Design, develop, and maintain scalable data pipelines for large-scale processing and analytics.
  • Architect and implement data solutions using distributed processing technologies and cloud platforms.
  • Design and optimize advanced SQL queries for analytical environments.
  • Manage and optimize relational and non-relational databases using performance tuning and scalability strategies.
  • Build and maintain data processing workflows with Apache Spark and Python or Java.
  • Implement and optimize Data Lake and Lakehouse architectures.
  • Work with Databricks or Apache Flink, orchestration tools, and streaming services.
  • Collaborate with technical teams and business stakeholders to define requirements and architectural approaches.
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