Senior Data Engineer – Databricks, PySpark & dbt at Connecticut (Remote) - Open for W2
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