Job Summary

We are looking for a skilled Data Engineer to help build and enhance a modern, scalable data platform powered by Snowflake and DBT. The candidate needs to have hands-on experience with Snowflake, DBT, and Python-based data processing tools such as PySpark, Pandas, and NumPy. This role will focus on designing effective data pipelines, implementing data models, and ensuring reliable data flows across the platform.

Job Type

Full time

Location

Bangalore, Karnataka, India

Responsibilities
Develop, test, document, and maintain high-quality ETL/ELT pipelines using Snowflake and DBT.
Implement both full-load and incremental data ingestion patterns across multiple data sources.
Write clean, reusable, and scalable SQL and PySpark code to support data transformations and analytics workflows.
Participate in all phases of the software development lifecycle, including solution design, coding, testing, deployment, and optimization.
Diagnose, debug, and troubleshoot pipeline or code-related issues to ensure reliable data processing.

Required Skills and Qualifications




Minimum 2 years of qualified experience as a Data Engineer or ETL Developer with demonstrable project experience.
Bachelor degree in Computer Science, Software Engineering, or a related field.
Strong proficiency in SQL, PySpark, and Python data libraries such as Pandas, NumPy, and SciPy.
Hands-on experience with Snowflake and valuable understanding of data warehousing concepts.
Experience working with AWS/Azure or another major cloud platform, with exposure to cloud-based data services.
Familiarity with agile methodologies, including sprint-based development practices.

Additional Skills and Qualifications
Exposure to big data technologies (e.g., Spark, Kafka, Hadoop).
Understanding of data science and machine learning concepts, tools, and workflows.

Disclaimer: This job posting 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.

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