Middle Data Engineer (#3682)

We are seeking a Middle/Senior Data Engineer with proven expertise in AWS, Snowflake, and dbt to design and build scalable data pipelines and modern data infrastructure. You'll play a key role in shaping the data ecosystem, ensuring data availability, quality, and performance across business units.

Requirements:

• 4+ years of experience in Data Engineering roles.
• Experience with the AWS cloud platform. 
• Proven experience with Snowflake in production environments.
• Hands-on experience building data pipelines using dbt.
• Python skills for data processing and orchestration.
• Deep understanding of data modeling and ELT best practices.
• Experience with CI/CD and version control systems (e.g., Git).
• Strong communication and collaboration skills.

Must-Have:

• Strong experience with Snowflake (e.g., performance tuning, storage layers, cost management)
• Production-level proficiency with dbt (modular development, testing, deployment)..
• Experience developing Python data pipelines.
• Proficiency in SQL (analytical queries, performance optimization).

Nice-to-Have:

• Experience with orchestration tools like Airflow, Prefect, or Dagster.
• Familiarity with cloud platforms (e.g., GCP, or Azure).
• Knowledge of data governance, lineage, and catalog tools.
• Experience in working in Agile teams and CI/CD deployment pipelines.
• Exposure to BI tools like Tableau or Power BI.