Overview
On Site
$50 - $60
Accepts corp to corp applications
Contract - W2
Skills
AWS
Job Details
Need Strong AWS Data Engineer
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
- Build and optimize data architectures and data models for analytics and reporting.
- Integrate data from various sources (structured and unstructured).
- Ensure data quality, integrity, and security across systems.
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
- Develop and maintain ETL/ELT processes.
- Monitor pipeline performance and troubleshoot issues as needed.
- Automate manual processes and improve data reliability and efficiency.
- Required Skills & Qualifications:
- Bachelor's or master s degree in computer science, Engineering, or related field.
- 8+ years of experience in data engineering or similar role.
- Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
- Experience with big data tools such as Spark, Hadoop, Kafka, or Flink.
- Hands-on experience with cloud platforms like AWS, Google Cloud Platform, or Azure (e.g., S3, Redshift, BigQuery, Snowflake).
- Strong Python, Scala, or Java skills for data processing.
- Experience with workflow orchestration tools like Apache Airflow, Luigi, or Prefect.
- Understanding of data warehousing and data lake concepts
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.