Data Engineer

Job Overview:
As a Data Engineer with AWS expertise, you will be responsible for designing, building, and maintaining robust and scalable data pipelines and infrastructure. You will leverage AWS services to extract, transform, and load (ETL) data from various sources into data warehouses or data lakes for analysis and consumption.
Key Responsibilities:
Develop and maintain data pipelines using AWS services (EMR, Glue, Kinesis, Redshift, S3, etc.).
Design and implement data architectures to support business requirements.
Ensure data quality and integrity throughout the data lifecycle.
Optimize data pipelines for performance and cost-efficiency.
Collaborate with data analysts and scientists to understand data needs.
Required Skills:
Proficiency in SQL and Python or Scala.
Strong understanding of data warehousing and data lake concepts.
Experience with AWS data services (EMR, Glue, Kinesis, Redshift, S3, etc.).
Knowledge of data modeling and ETL processes.
Ability to work with large datasets and perform data analysis.