The company is looking for a data engineer to design, build, and maintain data pipelines and architectures to ingest, process, and analyze data, ultimately extracting insights and automating manual tasks to meet business needs.
Requirements
- Snowflake
- SQL
- ETL
- Data modeling
- Experience on Data security and Optimizing data retrieval
- Excellent experience/exposure to writing complex SQL
- DQH concepts
Responsibilities
- Designing data pipelines: Data engineers design, build, and maintain data pipelines to ingest data from sources like databases, cloud storage, or streaming platforms
- Building data architecture: Data engineers plan, create, and maintain data architectures that are aligned with business needs
- Collecting data: Data engineers obtain data from suitable sources before working on the database
- Identifying patterns and creating models: Data engineers use descriptive data models to extract historically relevant insight from data
- Develop automated data pipelines and data stores in Snowflake: including designing, implementing, testing, debugging, and deploying.
- Build metadata driven solutions that are reusable and highly configurable.
- Automate testing and deployment in Snowflake across Azure and AWS.
Other
- Excellent communication skills
