Data Engineer

Job Description

Job Description: We seek a highly skilled Data Engineer with 3-5 years of experience to join our team. The ideal candidate should have expertise in Snowflake, dbt, Python, and Airflow, along with strong SQL knowledge. Experience with cloud platforms (AWS, Azure, or GCP) is a plus. Responsibilities : Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion to Snowflake using Python, dbt, and Airflow. Write optimized and efficient SQL queries for data transformation, modeling, and analysis. Develop and maintain data models and data pipelines to ensure data integrity and performance. Collaborate with Data Analysts, Data Scientists, and Business teams to understand data requirements and optimize data workflows. Automate and monitor data pipelines using Airflow for scheduling and orchestration. Implement data quality checks, validation rules, and performance optimizations. Work with any one of the cloud platforms (AWS, Azure, GCP) to deploy and manage data infrastructure. Ensure security, governance, and compliance of data systems. Required Skills: Strong experience with Snowflake (schema design, performance tuning, Snowflake-specific features). Proficiency in SQL (writing complex queries, indexing, performance tuning). Experience with dbt (Data Build Tool) for data transformation and modeling. Python programming for automation and data processing. Experience with Airflow for workflow orchestration. Good understanding of data warehousing concepts and best practices. Nice-to-Have Skills: Experience with any one of the cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD for data pipelines and version control (Git, GitHub, Bitbucket). Experience with data governance, security, and compliance best practices. Exposure to other data tools like Kafka, Spark, or Terraform is a plus.