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Senior Data Engineer

Senior Data Engineer

RandomTrees

5 years

0 Lacs

Chennai Tamil Nadu India

Posted:1 day ago| Platform:

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Skills Required

data drive design etl storage processing pipeline reliability controls governance documentation code architecture engineering sql orchestration airflow aws gcp azure git stack compensation

Work Mode

On-site

Job Type

Full Time

Job Description

```html

About the Company:

About the Role:

Responsibilities:

Design, develop, and maintain scalable ETL/ELT pipelines using DBT and Snowflake.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
Optimize and manage Snowflake data warehouses, ensuring efficient storage, processing, and retrieval.
Develop and enforce best practices for data modeling, transformation, and version control.
Monitor and improve data pipeline reliability, performance, and data quality.
Implement access controls, data governance, and documentation across the data stack.
Perform code reviews and contribute to the overall architecture of the data platform.
Stay up to date with industry trends and emerging technologies in the modern data stack.

Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
5+ years of experience in data engineering or a related field.
Strong expertise in Snowflake data warehouse architecture, features, and optimization.
Hands-on experience with DBT for data transformation and modeling.
Proficiency in SQL and experience with data pipeline orchestration tools (e.g., Airflow, Prefect).
Familiarity with cloud platforms (AWS, GCP, or Azure), especially data services.
Understanding of data warehousing concepts, dimensional modeling, and modern ELT practices.
Experience with version control systems (e.g., Git) and CI/CD workflows.

Required Skills:

Expertise in Snowflake and DBT.
Strong SQL skills.
Experience with data pipeline orchestration tools.
Familiarity with cloud platforms.

Preferred Skills:

Experience with data governance and documentation.
Knowledge of modern data stack technologies.

Pay range and compensation package:

Equal Opportunity Statement:

```

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