AWS Data Engineer
AWS Data Engineer
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Job Description
Our client in the Consulting sector based in Calgary is seeking a Senior Data Engineer (AWS) with a minimum of five years of relevant experience. This is an urgent job opening that commences on March 17th and extends through the end of the year with a significant likelihood of a oneyear extension. Preference will be given to local candidates; however those willing to cover their relocation costs are also encouraged to apply.
Key Responsibilities:
Design develop and maintain scalable ETL pipelines using AWS services such as Glue Lambda S3 and Redshift
Develop and optimize complex SQL queries for data transformation validation and reporting
Utilize Python for data processing automation and scripting within ETL workflows
Work with Databricks to develop optimize and scale data pipelines and analytics solutions
Collaborate with data scientists analysts and other stakeholders to understand data requirements and ensure data availability and integrity
Implement and optimize data storage solutions including data lakes and data warehouses to support analytics and reporting
Monitor and troubleshoot data pipelines to ensure continuous and reliable data flow
Ensure data security and compliance with industry standards and best practices
Automate data integration and processing tasks using AWS tools like Step Functions CloudFormation and others
Document data flows data models and processes for internal use and future reference
Stay updated with the latest trends and best practices in data engineering and AWS technologies
What you will get in return:
- Professional and supportive work environment
- Excellent compensation company bonus and onsite vehicle. Drug test is going to be performed
What you need to do now:
- Apply online or visit jobs.talencity.com
- We thank all applicants but due to the volume of applications we will only be in touch with qualified candidates to discuss next steps.
Required Skills / Experience
Bachelors degree in Computer Science Information Technology Engineering or a related field. A Masters degree is a plus
5 years of experience in data engineering
Extensive handson experience working with Databricks including the development optimization and management of data pipelines
Strong experience with AWS services such as S3 Glue Lambda Redshift DynamoDB and Athena
Proficiency in programming languages such as Python Java or Scala
Experience with SQL and NoSQL databases
Solid understanding of data warehousing principles ETL workflows and data modeling techniques
Knowledge of data security governance and compliance best practices
Strong problemsolving skills and attention to detail
Excellent communication skills with the ability to collaborate effectively with crossfunctional teams
Nice to Have:
AWS Certified Data Engineer or AWS Certified Data Analytics or AWS Certified Solutions Architect
Experience with big data tools and technologies like Apache Spark Hadoop and Kafka
Knowledge of CI/CD pipelines and automation tools such as Jenkins or GitLab CI
Education
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. A Master's degree is a plus.
Employment Type
Full Time
