AWS Data Engineer

Hello

 

Greetings from E-IT,

 

Kindly share your updated resume if interested.

 

Role : AWS Data Engineer
Location : Scottsdale AZ (Day 1 onsite)
Hire type : Contractor.

 

No Green Card profiles please

Must have:

AWS , Glue , S3 Redshift , Kinesis , Python/Java , Scala RDS SQL Server

 

AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.

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 ongoing 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.

Thanks and Regards,

 

Siddharth EIT Professionals Corp

[email protected]

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