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Data Engineer II
Skills
Computer ScienceApache SparkAzure DatabricksData ArchitectureData ModelingData WarehousingDatabase Design
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- B.S. in Computer Science or equivalent
- 2-3 years' experience in data engineering and big data
- 1 year of working directly with clients and external stakeholders
- Extensive knowledge of data warehousing concepts
- Hands-on experience deploying pipelines using Databricks and/or Spark a MUST
- Writing and debugging Python, SQL, and possibly Scala code
- Basic data modeling and database design skills
- Knowledge of version control
- Excellent verbal and written communication skills
- Databricks certification a plus
Nice to have
- ambitious
- collaborative
- dynamic
- inclusive
- passionate
- excellent communication skills
Day to day
- Participating in engagements with clients related to data warehousing, ETL development, data integrations, and data modeling.
- Work effectively and directly with both internal and client and/or partner teams.
- Support data integration efforts using cloud services. Deliver ETL/ELT pipelines for small-scale projects independently.
- Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data.
Hiring process
- Not Provided