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Senior Data Engineer (AWS) @ ELEKS

Senior Data Engineer (AWS) @ ELEKS

ELEKSKraków, Poland
17 days ago
Job description

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 commercial experience as a Data Engineer
  • 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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    Senior Data Engineer • Kraków, Poland