Role: AWS Data Engineer
Location : Scottsdale AZ (Day 1 onsite)
Hire type : Contract
Experience: 8-9 years
Must have :
IAM, AWS, Glue, S3 Redshift , Kinesis , Python/Java , Scala RDS SQL Server
AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect.
Needs someone who can understand and work on AWS echo system - Glue , Kinensis, DynamoDB etc. ) and the access permissions and especially terraform infra as code.
It is a combination of skills AWS DE + some hands-on knowledge in AWS infra.
Position Summary:
We are seeking a highly skilled AWS Data Engineer with extensive experience in AWS technologies to join our team as a contractor.
The ideal candidate will have a strong background in designing, building, and maintaining data pipelines, and must be capable of contributing immediately to our on-going projects.
Key Responsibilities:
- Utilize AWS services such as Kinesis, S3, Glue, Redshift, and RDS SQL Server for data processing and storage.
- Implement data ingestion processes to handle streaming and batch data.
- Ensure data quality and integrity through robust ETL processes.
- Collaborate with other data engineers and the Cloud engineering team to develop and deploy data pipelines in AWS.
- Optimize and tune data processing workflows for performance and cost efficiency.
- Monitor and troubleshoot data pipeline issues to ensure continuous data flow and reliability.
- Document data architecture, processes, and workflows.
Qualifications:
- Bachelor's or master s degree in computer science, Engineering, or a related field.
- Minimum of 5 years of experience in data engineering, with a focus on AWS technologies.
- Proven experience with AWS services including Kinesis, S3, Glue, Redshift, and RDS SQL Server.
- Strong proficiency in SQL and experience with database design and optimization.
- Expertise in ETL/ELT processes and tools.
- Familiarity with data warehousing concepts and best practices.
- Experience with data modeling and schema design.
- Proficiency in programming languages such as Python, Java, or Scala.
- Knowledge of data governance and security best practices in a cloud environment.
- Excellent problem-solving skills and the ability to work independently with minimal supervision.
- Strong communication and collaboration skills.
Qualifications:
- AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect.
- Experience with other AWS services such as Lambda, CloudWatch, Kinesis, Firehose, Event bridge, Redshift, DynamoDB, IAM, RDS SQL Server
- Familiarity with big data technologies like Apache Spark or Hadoop.
- Experience with reporting and visualization tools like Tableau.
- Knowledge of DevOps practices and tools for CI/CD such as Jira and Harness.
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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