Role Overview
We are looking for an enthusiastic and technically skilled AI/ML & Data Science Engineer to develop data-driven solutions using Artificial Intelligence, Machine Learning, and Data Science techniques.
Responsibilities
- Develop data-driven solutions using AI, ML, and Data Science techniques.
- Build transformation layers using dbt, including writing Jinja-templated SQL models and managing projects end-to-end.
- Design and optimize schemas in cloud data warehouses like BigQuery, Snowflake, or Amazon Redshift.
- Build and orchestrate data pipelines using tools such as Apache Airflow or Prefect.
- Perform complex querying and data modeling using SQL.
- Collaborate on analytics-ready datasets and dashboards using tools like Looker, Power BI, or Tableau.
- Translate complex data engineering concepts into clear documentation for stakeholders.
Requirements
- Advanced proficiency in SQL and RDBMS platforms (PostgreSQL, MySQL, or MS SQL Server).
- Strong, practical expertise in dbt (Core or Cloud).
- Hands-on experience with cloud data warehousing (BigQuery, Snowflake, or Redshift).
- Proficiency in Python for data manipulation and automation.
- Experience with data orchestration tools like Apache Airflow or Prefect.
- Postgraduate degree in Data Science, Data Engineering, Computer Science, IT, or a BE/ME/MCA with relevant specialization.
Skills
- dbt
- Python
- SQL
- Apache Airflow
- BigQuery