{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer | Senior Data Engineer | ETL | Spark | Databricks | Snow","description":"

Role & responsibilities

Design, develop, and maintain scalable data pipelines.
Build ETL/ELT workflows for structured and unstructured data.
Develop cloud-based data solutions using AWS, Azure, or GCP.
Implement data warehousing solutions for business reporting and analytics.
Optimize data processing jobs for performance and scalability.
Work with Apache Spark and Databricks for large-scale data processing.
Build and maintain workflows using Apache Airflow.
Ensure data quality, governance, and security standards.
Collaborate with Data Scientists, Analysts, and Software Engineers.
Participate in code reviews and follow development best practices.

Preferred candidate profile

3 to 7 years of experience in Data Engineering.
Strong knowledge of SQL and Python.
Experience in designing scalable data pipelines.
Hands-on experience with cloud platforms (AWS, Azure, or GCP).
Knowledge of Spark, Databricks, and modern data architectures.
Strong analytical and problem-solving skills.
Experience working in Agile development environments is preferred.

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