Snowflake DBT With Python

About the job

Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business outcomes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation.

As part of the multibillion-dollar CKA Birla Group, Birlasoft, boasting a team of 12,500+ professionals, is committed to carrying forward the Group's illustrious 162-year legacy. At our core, we prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, ensuring our commitment to building not just businesses but inclusive and sustainable communities.

Join us in shaping a future where technology aligns seamlessly with purpose.

Snowflake DBT with Python

About: We are looking for an experienced Snowflake Developer with strong expertise in Python, cloud-based data engineering and integration. The ideal candidate will have hands-on experience with Snowflake, Azure Data Services, and DevOps practices, capable of designing, developing, and optimizing data solutions for enterprise-scale projects.

Key Responsibilities:

* Design and implement Snowflake pipelines.

* Develop and manage Snowflake Tasks, Stored Procedures, UDFs, Tables, Snowpipe, Streams for data ingestion, transformation, and unloading.

* Handle data flattening, filtering, and transformation within Snowflake.

* Build and optimize ETL/ELT workflows using Azure Data Factory (ADF).

* Integrate and manage data in Azure Data Lake.

* Develop and maintain Azure Function Apps for custom data processing.

* Implement CI/CD pipelines using Azure DevOps.

* Work with XML and JSON file formats for data ingestion and transformation.

* Ensure data security, governance, and compliance across all platforms.

Required Skills & Qualifications:

* Strong hands-on experience with Snowflake Cloud Data Platform (Tasks, Stored Procs, UDFs, Snowpipe, Streams).

* Proficiency in Python, SQL and query optimization techniques.

* Experience with Azure Data Factory, Azure Data Lake, and Azure Function Apps.

* Familiarity with Azure DevOps for CI/CD and deployment automation.

* Strong understanding of ETL/ELT processes and data integration patterns.

* Experience working with XML and JSON data formats.

* Knowledge of data modeling concepts (Star/Snowflake schema).

* Understanding of data governance and security best practices.