Azure Databricks & Snowflake Data Engineer.

Location : Pan India.

Employment Type : Full-time.

Experience : 6 to 12 years.

Notice Period : Immediate to 15 days only.

Job Description :

We are looking for an experienced Kafka Streaming with Azure Databricks & Snowflake Data Engineer to join our growing team.

The successful candidate will be responsible for designing, developing, and maintaining scalable data solutions.

This role requires a strong understanding of modern data platforms and hands-on experience with Azure Databricks, Snowflake, DBT, SQL, and Kafka.

Role & Responsibilities :

- Design, develop, and maintain scalable data pipelines using Azure Databricks, Snowflake, and DBT

- Extract, transform, and load data from various sources databases, files, APIs.

- Ensure data quality and consistency throughout the data lifecycle

- Optimize data pipelines for performance and efficiency

- Develop and maintain data models and schemas

- Collaborate with data analysts and scientists to support their data needs

- Stay up-to-date with the latest data engineering technologies and trends

Must-Have Skills :

- 6+ years of experience working with modern data platforms and ETL processes

- Strong understanding of Azure Databricks and its architecture, including Databricks Delta Lake, Spark, and MLflow

- Proficient in Snowflake and its SQL dialect, data warehousing concepts, and performance optimization techniques

- Hands-on experience with DBT for data modeling, testing, and deployment

- Solid understanding of SQL and data querying techniques

- Experience working with Kafka for real-time data streaming and processing

- Knowledge of data engineering best practices and methodologies

- Ability to work with large datasets and complex data pipelines