Required Skills & Qualifications
4 7 years of experience in data engineering, with at least 3 years of hands-on DBT (Data Build Tool) experience.
Strong proficiency in SQL and experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
Solid understanding of data modelling concepts - Data Vault, Kimball, or similar methodologies.
Experience with production support, incident management, and SLA-driven delivery.
Familiarity with orchestration tools such as Apache Airflow, dbt Cloud, or similar.
Proficiency in Python scripting for data pipeline troubleshooting and automation.
Experience with version control (Git) and CI/CD pipelines for DBT deployments.
Strong analytical and problem-solving skills with ability to work under pressure.
Excellent communication skills with ability to engage with technical and non-technical stakeholders.

Positive to Have
Exposure to data governance and metadata management tools.
Knowledge of DBT packages, custom macros, and advanced Jinja templating.
Experience in ITIL-based support frameworks.

📌 Data engineering - Data Build Tool (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru