DataBeat - Snowflake Developer - Data Build Tool

Description : Job Title : Snowflake + DBT Developer.Location : Hyderabad.Experience : 4+ years.Job Type : Full-Time.Department : Enterprise Data and Analytics.About The Role : We are looking for an experienced Snowflake + DBT Developer to join our Technology Team .This role demands a deep understanding of data pipeline migration, modeling, and orchestration using modern data stack technologies like Snowflake, DBT, Databricks, and Airflow.You will play a crucial role in migrating existing pipelines from Databricks to Snowflake, building scalable and performant workflows, and ensuring seamless data integration and delivery across environments.This is a highly collaborative role requiring strong communication skills and hands-on experience with CI/CD, orchestration, monitoring, and modern data engineering best practices.Key Responsibilities : Migration & Architecture : - Analyze and understand existing data pipelines built using Databricks (PySpark/Spark).- Re-architect and rebuild pipelines for Snowflake using SQL-based transformations and DBT models.- Ensure high performance, scalability, and data consistency during and post-migration.Snowflake Development : - Develop using Snowflake-native features : Snowpipe, Streams/Tasks, Dynamic Tables, Materialized Views, Secured Views, RBAC, Data Masking, Row-Level Security, etc.- Implement performance tuning, query optimization, and cost-effective warehouse management.- Leverage metadata layers, query history, and account usage for monitoring and auditing.DBT (Data Build Tool) : - Build and manage modular DBT models, macros, and materializations.- Maintain version-controlled environments and promote changes across Dev ? Test ? Prod using CI/CD.- Ensure documentation, testing, and validation within DBT framework.Workflow Orchestration & Automation : - Design, build, and manage Airflow DAGs for end-to-end orchestration.- Integrate orchestration with tools such as Cosmos, Astronomer, or Docker.DevOps & CI/CD : - Create and manage automated deployment pipelines using GitHub Actions, Azure DevOps, or similar.- Enforce coding standards, peer reviews, and Git-based version control.Monitoring & Alerting : - Implement proactive monitoring, logging, and alerting mechanisms for data pipelines.- Develop self-healing or alert-driven systems to address critical failures or anomalies.Technical Requirements : - 4+ years of experience in data engineering with strong hands-on experience in Snowflake and DBT.- Proven experience in Databricks (PySpark/Spark) and migrating workloads to Snowflake.Strong Understanding Of : - RBAC, Data Sharing, Database Replication, Stored Procedures, Snowpipe vs Streams, Authentication (MFA).- Dynamic Tables vs Materialized Views, Secured Views, Query Optimization, Pruning, Meta Data, and Query History.- Proficiency in SQL development, data modeling, and performance tuning in Snowflake.- Experience with orchestration tools like Airflow and containerized deployments using Docker.- Familiarity with CI/CD pipelines, code versioning, and deployment automation.- Knowledge of data governance, security controls, and masking techniques.Nice-to-Have : - Experience with Headless BI Tools or Data Visualization Platforms.- Familiarity with Cloud Services (AWS/Azure/GCP) and deployment on platforms like Snowflake on AWS/Azure.- Exposure to i18n/localization in data products or multi-tenant data platforms.Soft Skills : - Strong analytical thinking and attention to detail.- Excellent verbal and written communication skills.- Ability to work independently as well as collaboratively across cross-functional teams.- Self-driven, proactive, and capable of managing multiple tasks simultaneously.- Willingness to mentor peers and contribute to process improvement and documentation. - - - - - - - (ref:hirist.tech)