Description

You will design and implement data processing, storage, and delivery solutions to meet business capability needs.

Responsibilities

• Lead design sessions with engineering, data science, and product teams to produce technical documentation.
• Implement data solutions using cloud services, streaming tools, and various programming languages.
• Evaluate new technologies through proofs of concept and provide technical recommendations.
• Facilitate code reviews, integration testing, and retrospectives to improve delivery quality.
• Collaborate with product owners and data stewards to align roadmaps and integration efforts.

Required Skills

• Experience with Kafka, Spark, and AWS SQS.
• Proficiency with AWS Lambda, Step Functions, ECS, Fargate, and Athena.
• Experience with BigQuery and GCP PubSub.
• Strong background in building data models using R, Python, or other statistical programming packages.
• Engineering experience with data-intensive software using streaming and resource-based design principles.
• Expertise in software development best practices including version control, code documentation, and database management.
• Knowledge of DevOps methodologies and Infrastructure as Code.
• Experience with cloud-native data warehouses such as BigQuery, Redshift, or Snowflake.
• Ability to communicate complex qualitative analysis to technical and executive audiences.

Preferred Skills

• Power BI and Power Apps development skills.
• Experience working within global multi-disciplinary teams.

Key Skills

Education

Bachelor's Degree