Penn Mutual · 4 hours ago

Senior Cloud Data Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$126K/yr - $146K/yr

10+ years exp

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Responsibilities

Architect and Develop Data Solutions: Lead the end-to-end design and development of robust data pipelines and data architectures using AWS tools and platforms, including AWS Glue, S3, RDS, Lambda, EMR, and Redshift.

Optimize ETL Processes: Design and optimize ETL workflows to facilitate the efficient extraction, transformation, and loading of data between diverse source and target systems, including data warehouses, data lakes, and both internal and external platforms.

Collaborate and Design Data Models: Partner with stakeholders and business units to develop data models that align with business needs, analytical requirements, and industry standards.

Data Integration and Architecture Maintenance: Collaborate with internal and external teams to design, implement, and maintain data integration solutions, ensuring high data integrity, consistency, and accuracy.

Implementation and Troubleshooting: Oversee the implementation of data solutions from initial concept through to production. Troubleshoot and resolve complex technical issues to ensure data pipeline stability and high performance.

Leadership and Mentorship: Provide guidance and leadership to engineering teams, promoting a culture of continuous improvement, knowledge sharing, and technical excellence. Mentor junior engineers and foster their professional growth.

Innovation and Strategy: Drive technical innovation by staying abreast of industry trends and emerging technologies. Influence technical strategies and decisions to align with organizational goals and objectives.

Documentation and Best Practices: Develop and maintain comprehensive documentation for data architectures, pipelines, and processes. Establish and enforce best practices for data engineering and quality assurance.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AWS GlueAWS S3AWS RDSAWS LambdaAWS EMRAWS RedshiftETL processesPythonJavaScalaData modelingData governanceData securityData complianceGoogle CloudAzureFinancial servicesCapital marketsTechnical innovationCross-functional projectsTechnical strategiesMentoringDocumentation

Required

Proficiency in ETL processes using Python, Java, or Scala, and hands-on experience with AWS tools and platforms.

Demonstrated ability to design data models and implement data schemas.

Excellent analytical skills with the capability to diagnose complex technical problems and implement effective solutions.

Strong leadership, communication, and collaboration skills, with a commitment to mentoring and developing talent within the team.

Experience with data governance, security, and compliance best practices.

Familiarity with other cloud platforms (e.g., Google Cloud, Azure) and data processing technologies.

Bachelor's Degree in Computer Science, Engineering, or a related field.

10+ years of professional experience in data engineering with a strong focus on designing, developing, and implementing data pipelines and integrations.

AWS Certified Solutions Architect and/or AWS Certified Data Engineer.