Mandatory Skills

- 5+ years of experience in Data Engineering.

- Strong hands-on experience with DBT (Data Build Tool).

- Strong experience with Apache Airflow including DAG development, scheduling, monitoring, and workflow orchestration.

- Proficiency in Python for ETL development, automation, and data processing.

- Solid 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)
🏢 CIEL HR
📍 Bengaluru