Quick overview
SeniorityMid Senior
Work modeHybrid
LocationCT, United States
Apache SparkAWSDatabricksKafkaPythondbtAzure
Job description
Data Engineer
Connecticut (Remote)
Contract - 1 Year
Job Description:
- Review and translate requirements to end-end technical design with a goal of building data products
- Develop pipelines in Databricks using PySpark and DBT to onboard various sources
- Working knowledge in Kafka to stream the data into databricks platform
- Identify Common approaches and best practices to data integration such as metadata drive ingestion, data validations, complex data type handling
- Drive standards for reusability, while developing pipelines
- Create or update documentation associated to key decisions on requirements, design and development
- Liaise with architects, data owners and users for reviews on day-day basis to ensure the quality of deliverables are high.
Skill Proficiency Requirements:
- 8+ years of overall IT experience with 6 years as a Data Engineer
- Experience in providing data engineering solutions
- Working knowledge of below technology toolsets:
- Cloud (Azure/AWS)
- Databricks, Data Mesh, Data as a Product
- Python
- Data streaming (Kafka, EventHub, Kinesis, SNS)
- Cloud-based API management good to have
- Immuta good to have
- Multi-cloud and on-prem application integration good to have
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