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 Solid 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.

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