Cyber SDC - Data Engineer - Senior - Location Open

Location:

Anywhere in Country

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We are seeking a Data Engineer with strong AWS cloud expertise to design, build, and maintain scalable data pipelines and data lake solutions. The ideal candidate will have hands-on experience with Python, SQL, and AWS data services, with a proven ability to develop robust data ingestion frameworks, optimize data quality, and support analytics and reporting initiatives. This role requires close collaboration with customers, data engineers, and cross-functional teams to onboard and transform data from multiple sources into a centralized AWS-based data lake.

• Develop, deploy, and support AWS Lambda functions using Python to ingest and process data into an Amazon S3-based data lake.
• Maintain and troubleshoot existing data ingestion solutions, including Lambda functions, Python code, and Terraform infrastructure.
• Design, develop, and optimize end-to-end data pipelines leveraging AWS services such as Lambda, Step Functions, Glue ETL Jobs, Glue Crawlers, Athena, and S3.
• Collaborate with customers and stakeholders to onboard new data sources while ensuring compliance with data governance and security requirements.
• Implement data transformation, normalization, and cleansing processes to improve data quality and usability.
• Monitor, troubleshoot, and resolve data pipeline issues to ensure reliability and performance.
• Partner with Data Engineering and Analytics teams to improve existing workflows, enhance code quality, and optimize data processing logic.
• Support data lake architecture and contribute to best practices for scalable and maintainable data engineering solutions.
• Document technical designs, workflows, and operational procedures.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent work experience.
• 3+ years of experience in Data Engineering or a related role.
• Strong proficiency in Python and SQL.
• Hands-on experience with AWS services, including:
  • AWS Lambda
  • AWS Glue
  • Amazon Athena
  • Amazon S3
  • AWS Step Functions
• Experience developing and supporting ETL/ELT pipelines in cloud environments.
• Experience with Terraform and Infrastructure as Code (IaC).
• Understanding of data lake architecture, data ingestion, and data transformation concepts.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work effectively with cross-functional teams and business stakeholders.

• Experience with large-scale cloud-based data platforms.
• Familiarity with data governance, data quality, and compliance frameworks.
• Experience with CI/CD pipelines and Dev Ops practices.
• Knowledge of AWS security best practices.
• AWS Certified Data Engineer, Developer, or Solutions Architect certification.

• Strong communication and stakeholder engagement skills.
• Customer-focused mindset with the ability to understand and translate business requirements into technical solutions.
• Ability to manage multiple priorities in a fast-paced environment.
• Attention to detail and commitment to data quality and operational excellence.

Primary

Skills:

AWS, Python, SQL, Lambda, Glue, Athena, S3, Step Functions, Terraform, Data Engineering, ETL/ELT, Data Lakes.

We seek top performers who possess a strong passion and foundation in cybersecurity principles and practices, along with relevant certifications and experience. A proactive mindset, creating high performing teams, adaptability to evolving threats, and a commitment to continuous learning are also critical attributes we look for in candidates. Ultimately, we look for motivated individuals who are committed to safeguarding digital assets and fostering a culture of security awareness within the organization.

• Continuous learning:
  You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you:
  We’ll provide the tools and flexibility, so you can make a…