Euphoric Thought Technologies - Data Engineer - SQL/Python

Job Description :

The Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure. They will also have experience with SQL, Elasticsearch, and data integration tools such as Talend.

Roles & Responsibilities :

- Collaborate with product, business, and engineering stakeholders to understand key metrics, data needs, and reporting pain points.

- Design, build, and maintain clean, scalable, and reliable data models using DBT.

- Write performant SQL and Python code to transform raw data into structured marts and reporting layers.

- Create dashboards using Tableau or similar tools.

- Work closely with data platform engineers, architects, and analysts to ensure data pipelines are resilient, well-governed, and high quality.

- Define and maintain source-of-truth metrics and documentation in the analytics layer.

- Partner with product engineering teams to understand new features and ensure appropriate instrumentation and event collection.

- Drive reporting outcomes by building dashboards or working with BI teams to ensure timely delivery of insights.

- Help scale our analytics engineering practice by contributing to internal tooling, frameworks, and best practices.

Who You Are :

- Experience : 2 to 3 years of experience in analytics/data engineering, with strong hands-on expertise in DBT, SQL, Python and dashboarding tools.

- Experience working with modern data stacks (e.g., Snowflake, BigQuery, Redshift, Airflow).

- Strong data modeling skills (dimensional, star/snowflake schema, data vault, etc.).

- Excellent communication and stakeholder management skills.

- Ability to work independently and drive business outcomes through data.

- Exposure to product instrumentation and working with event-driven data is a plus.

- Prior experience in a fast-paced, product-led company is preferred.