Informacje o stanowisku
ELEKS Software Engineering & Development Office is looking for a Senior Data Engineer (AWS) in Poland or Ukraine.
ABOUT PROJECT
The platform replaces traditional logins with secure, device-based credentials and real-time risk analysis, helping organizations prevent phishing attacks and unauthorized access. It’s trusted by leading global enterprises across a wide range of industries.Tech stack: AWS Lambda, Kinesis, Athena, SNS/SQS, Redshift, DynamoDB.
WHAT YOU WILL GET WITH ELEKS
- Close cooperation with a customer
- Challenging tasks
- Competence development
- Ability to influence project technologies
- Team of professionals
- Dynamic environment with low level of bureaucrac
REQUIREMENTS
- 5+ years of experience
- Strong expertise in AWS (particularly within the stack mentioned above)
- Focus on data processing
- Upper-Intermediate or higher level of English
ELEKS Software Engineering & Development Office is looking for a Senior Data Engineer (AWS) in Poland or Ukraine.
ABOUT PROJECT
The platform replaces traditional logins with secure, device-based credentials and real-time risk analysis, helping organizations prevent phishing attacks and unauthorized access. It’s trusted by leading global enterprises across a wide range of industries.Tech stack: AWS Lambda, Kinesis, Athena, SNS/SQS, Redshift, DynamoDB.
WHAT YOU WILL GET WITH ELEKS
- Close cooperation with a customer
- Challenging tasks
- Competence development
- Ability to influence project technologies
- Team of professionals
- Dynamic environment with low level of bureaucrac
,[Design and produce standardized reporting for stakeholders (internal associates, Retail Partners, contractors, and manufacturers) , Develop and manage to milestones and timelines for BI and reporting initiatives , Develop and enhance the data warehouse utilizing best practices, including utilizing extract, transform, and load levels to build a framework for scalability and enablement of self-service analytics , Analyze complex table structures and document data elements, data flow, relationships and dependencies, describing how data is stores and how to access data , Prep, ingest, and cleanse data in data warehouse , Source and integrate data from multiple platforms , Create, maintain, and monitor alerts to ensure that recurring jobs execute properly and in event of failure, identify and rectify timely to minimize impact to users , Fulfill adhoc reporting requests from the business team and/or support business team in BI self service , Develop a strong understanding of business processes, company enterprise platform, and table structures/relationships to extract and report correct data Requirements: AWS, AWS Lambda, Kinesis, Athena, SNS, Amazon SQS, Redshift, AWS DynamoDB, BI, Data warehouse
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