Role & responsibilities

- Mandatory Skills Description:• Masters degree in computer science, Information Technology, or a related field.
- 8 years of overall experience in data engineering, with a minimum of 5–6 years of relevant and hands-on expertise in Snowflake and DBT. At least 8 years of proven experience as a Snowflake Developer or in a similar data engineering role.
- Proficiency in using Fivetran for automated ELT data ingestion, with experience in integrating Fivetran pipelines with dbt and Snowflake for scalable data solutions.
- Extensive hands-on experience in writing complex SQL queries and advanced Python, demonstrating proficiency in data manipulation and analysis for large data volumes.
- Strong understanding of data warehousing concepts, methodologies, and technologies with in-depth experience in data modelling techniques (OLTP, OLAP, Data Vault 2.0)




- Experience building data pipelines using DBT (Data Build Tool) for data transformation.
- Familiarity with advanced techniques for performance tuning methodologies in Snowflake including query optimization.
- Strong knowledge with CI/CD pipelines, preferably in Azure DevOps.
- Excellent problem-solving, analytical, and critical thinking skills.

• Solid communication, collaboration, and interpersonal skills.

- Nice-to-Have Skills Description:• Knowledge of additional data technologies (e.g., AWS, Azure, GCP) is a plus.

- Knowledge of Infrastructure as Code (IAC) tools such as Terraform or cloud formation is a plus.

• Experience in leading projects or mentoring junior developers is advantageous.

Preferred candidate profile

📌 Snowflake Data Engineer (Bengaluru)
🏢 Luxoft
📍 Bengaluru