(cybersecurity), Senior Data Engineer, TSCM-42219

Eleks; Canada; Remote; CAD 90,000 - 120,000; Full time

Job summary

A software engineering company is seeking a Senior Data Engineer (AWS) to join their team. This position focuses on designing and standardizing reporting for stakeholders, enhancing data warehouses, and ensuring effective data integration and processing using AWS technologies. Candidates should have over 5 years of experience and strong AWS expertise. The role involves working closely with business processes and ensuring the accuracy of reporting in a collaborative environment.

Responsibilities

• Design and produce standardized reporting for stakeholders.
• Develop and manage milestones and timelines for BI initiatives.
• Enhance the data warehouse with best practices.
• Analyze complex table structures and document data flow.
• Prep, ingest, and cleanse data in data warehouse.
• Integrate data from multiple platforms.
• Maintain alerts for recurring jobs.
• Fulfill adhoc reporting requests.
• Understand business processes and platform relationships.

Skills

5+ years of experience

Strong expertise in AWS

Data processing focus

Upper-Intermediate English

Tools

AWS Lambda

Kinesis

Athena

Redshift

DynamoDB

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.

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

RESPONSIBILITIES

• 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