Data Engineer

• Collaborate with other engineers, customers to brainstorm and develop impactful data
• products tailored to our clients.
• Leverage AI and machine learning techniques to integrate intelligent features into our
• offerings.
• Develop, and optimize end-to-end data pipelines on AWS
• Follow best practices in software architecture and development.
• Implement effective cost management and performance optimization strategies.
• Develop and maintain systems using Python, SQL, PySpark, and Django for front-end
• development.
• Work directly with clients and end-users and address their data needs
• Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and
• MongoDB to support our data ecosystem.
• Leverage AI frameworks and libraries to integrate advanced analytics into our solutions.

Qualifications

Experience:

• Minimum of 3 years of experience in data engineering, software development, or
• related roles.
• Proven track record in designing and deploying AWS cloud infrastructure
• solutions
• At least 2 years in data analysis and mining techniques to aid in descriptive and
• diagnostic insights
• Extensive hands-on experience with Postgres, Redshift, Airflow, MongoDB, and
• real-time data workflows.

Technical Skills:

• Expertise in Python, SQL, and PySpark
• Strong background in software architecture and scalable development practices.
• Tableau, Metabase or similar viz tools experience
• Working knowledge of AI frameworks and libraries is a plus.
• Leadership & Communication:
• Demonstrates ownership and accountability for delivery with a strong
• commitment to quality.
• Excellent communication skills with a history of effective client and end-user
• engagement.