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  1. Go to Settings.
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Jobs or company...

AWS Data Engineer

Salary undisclosed

Apply on

Dice
Original
Simplified

Remote Fulltime - (EST - Canada)

Job Description

We are seeking a highly skilled and motivated Data Engineer with at least 4 years of experience, strong expertise in SQL, Python, and AWS services. The ideal candidate will have hands-on experience in building, managing, and optimizing data pipelines and architectures, as well as a deep understanding of data lake, data warehouse, and lakehouse concepts. You will play a crucial role in designing and implementing scalable ETL solutions for our data infrastructure, supporting a range of data driven initiatives.

Role and Responsibilities:

  • Design and develop scalable and efficient ETL pipelines to process structured and unstructured data.
  • Work extensively with AWS services including S3, Lambda, Step Functions, Glue, EC2, EMR, SNS, SQS, Redshift, and Athena to manage and optimize data pipelines and workflows.
  • Develop, monitor, and troubleshoot workflows using Airflow and other scheduling/orchestration tools.
  • Build and maintain data lakes, data warehouses, and lakehouse architectures, ensuring seamless integration and optimal data flow.
  • Implement and optimize SQL queries and Python scripts for data extraction, transformation, and loading (ETL).
  • Collaborate with data scientists, analysts, and stakeholders to understand business requirements and translate them into robust data solutions.
  • Optimize data pipelines for performance, reliability, and scalability to handle growing datasets and evolving business needs.
  • Leverage best practices for data security, compliance, and governance in cloud-based environments.
  • Perform data quality checks and ensure the accuracy and reliability of the data.
  • Stay up to date with the latest technologies and trends in data engineering, cloud platforms, and ETL development.

Qualifications:

  • 4+ years of experience as a Data Engineer, ETL Developer, or in a similar role.
  • Proficiency in SQL and Python for data manipulation, automation, and processing.
  • Extensive experience with AWS services, including:
  • S3, Lambda, Step Functions, Glue, EC2, EMR, SNS, SQS, Redshift, and Athena.
  • Strong understanding of data lake, data warehouse, and lakehouse concepts and the ability to design solutions for these architectures.
  • Experience with ETL frameworks and tools to build data pipelines.
  • Hands-on experience with workflow orchestration tools like Airflow.
  • Solid understanding of data governance, security, and compliance best practices.
  • Experience in building data models, optimizing databases, and query performance tuning.
  • Familiarity with data lake architectures and modern data integration patterns.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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