- 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.

📌 Data Engineer (India)
🏢 Talent Aspire
📍 India