Mandatory Skills
5+ years of experience in Data Engineering.
Robust hands-on experience with DBT (Data Build Tool).
Solid experience with Apache Airflow including DAG development, scheduling, monitoring, and workflow orchestration.
Proficiency in Python for ETL development, automation, and data processing.
Robust SQL skills with experience in writing complex queries and performance tuning.
Experience developing and supporting enterprise-scale ETL/ELT pipelines.
Experience with Snowflake, Redshift, BigQuery, or other cloud data warehouses
Knowledge of data modeling concepts including Star Schema and Dimensional Modeling.
Experience with Git-based version control systems.

Preferred Skills
Experience with AWS services such as S3, Glue, Lambda, or EMR.




Exposure to CI/CD pipelines and DevOps practices.
Experience working in Agile/Scrum environments.
Familiarity with data quality, governance, and observability frameworks.

Nice to Have
Snowflake Streams, Tasks, Snowpipe.
DBT Cloud.
PySpark or Spark.
Terraform or Infrastructure as Code.
Monitoring and alerting tools.

Qualification
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.

Key Skills

Snowflake DBT, Apache Airflow, Python, SQL, ETL, ELT, Data Engineering, Snowflake, AWS, Data Warehousing, Data Modeling, CI/CD, Git, Cloud Data Platforms.

📌 Data Engineer Bengaluru (India)
🏢 CIEL HR
📍 India