Job Summary

We are seeking an experienced data engineer who is comfortable with implementing ETL, automation, modelling, and working with large datasets in a rapid-paced team with data architects, business SMEs, and technical developers. The data engineer will use Talend and Snowflake primarily, understand and reverse engineer Alteryx workflows, and follow the principles of Data Vault modelling. Knowledge of Data Vault design methodology, Data Ops, Monte Carlo, similar tools, and Snowflake will be essential.

Experience Required
Min 4 8 years

Responsibilities
Breakdown requirements, understand logical data models and deliver robust data pipelines (ETL) to specifications
Extraction of data from APIs (REST, SOAP, etc) with a sound understanding of pagination techniques.
Own development artifacts and follow established dev, test, and deployment principles and processes
Ensure the build meets the stated design and specifications
Ensure all development, flows and designs are documented, communicated, updated, and managed in an appropriate manner

What we re looking for:
An experienced Data Engineer with robust implementation experience and expertise,



especially using Snowflake technology
Experienced in contemporary cloud-based data architecture (Talend/Snowflake including SQL)
Implementation experience in Snowflake data warehousing projects
Expertise in ETL and scheduling tools
Experienced in Talend or similar (e.g. DBT)
Understanding of Alteryx Workflows and recreating it using Talend components
Python experience recommended
AWS S3/Lambda/Glue/Dev-Ops (AWS data-engineering exposure, hands-on experience)
Experienced with CICD pipelines, and working and deploying in large delivery teams
Self-driven and constantly striving to improve delivery
Knowledge of the Data Mesh framework and associated concepts will be a plus
Optional: Digital Media and Marketing Services experience

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer Bengaluru
🏢 Quation
📍 Bengaluru