Data Engineer
Skills
DevopsWarehouse OperationsApache SparkData AnalyticsData WarehousingDimensional ModelingEnterprise Systems
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 7+ years in Data Engineering or related roles
- Strong hands-on experience with Snowflake including SnowSQL Snowpipe Streams Tasks and Data Sharing
- Experience in AWS services such as S3 Redshift Glue Lambda and EMR
- Proficiency in SQL and one programming language preferably Python or PySpark
- Experience with ETL ELT tools and data integration frameworks
- Strong knowledge of data warehousing concepts and dimensional modeling
- Experience with big data technologies such as Spark Hadoop or Databricks preferred
- Familiarity with CI/CD DevOps practices and version control tools
Nice to have
- Detail-oriented
- Collaborative
- Analytical
- Problem-solving
Day to day
- Design and maintain scalable data pipelines across Snowflake and AWS.
- Build robust ingestion transformation and integration workflows for structured and unstructured data.
- Collaborate with analysts architects and stakeholders to deliver optimized data solutions and support advanced analytics.