Data Engineer

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.
• Strong 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.