| Cloud Engineer (Urgent requirement ) at Madison, Wisconsin, USA |
| Email: [email protected] |
| From: vivek kumar, vyzeinc [email protected] Reply to: [email protected] Position: Cloud Engineer ( Urgent requirement ) Duration: 9+Month Contract Location: Madison WI | Hybrid Process: Video 15-20+ Years of Experience with extensive hands-on experience designing, developing, and maintaining data pipelines and ETL processes on AWS Redshift, including data lakes and data warehouses Hands-on experience with AWS services such as AWS DMS, Amazon S3, AWS Glue, Redshift, Airflow, and other pertinent data technologies Strong understanding of ETL best practices, data integration, data modeling, and data transformation. Bachelors or Master's degree in Computer Science, Information Technology, or a related field. And they are also looking for. Extensive hands-on experience designing, developing, and maintaining data pipelines and ETL processes on AWS Redshift, including data lakes and data warehouses. Proficiency in SQL programming and Redshift stored procedures for efficient data manipulation and transformation. Hands-on experience with AWS services such as AWS DMS, Amazon S3, AWS Glue, Redshift, Airflow, and other pertinent data technologies . Strong understanding of ETL best practices , data integration, data modeling, and data transformation. Experience with complex ETL scenarios, such as CDC and SCD logics, and integrating data from multiple source systems. Demonstrated expertise in AWS DMS for seamless ingestion from on-prem databases to AWS cloud. Proficiency in Python programming with a focus on developing efficient Airflow DAGs and operators. Experience in converting Oracle scripts and Stored Procedures to Redshift equivalents. Familiarity with version control systems, particularly Git, for maintaining a structured code repository. Proficiency in identifying and resolving performance bottleneck and fine-tuning Redshift queries, Strong coding and problem-solving skills, and attention to detail in data quality and accuracy. Ability to work collaboratively in a fast-paced, agile environment and effectively communicate technical concepts to non-technical stakeholders. Proven track record of delivering high-quality data solutions within designated timelines. Experience working with large-scale, high-volume data environments. The ideal candidate possesses several years of hands-on experience working with Redshift and other AWS services and a proven track record of delivering high-performing, scalable data platforms and solutions within the AWS cloud. AWS certifications related to data engineering or databases are a plus. Keywords: sthree Wisconsin |
| [email protected] View all |
| Fri Sep 01 23:06:00 UTC 2023 |