Position Details

Salary $65 – $80 USD / year

Type Contract

Experience senior

Exp. Years 5+ years

Education Not specified

Category Cloud & Infrastructure

About this role

Seeking a senior cloud data engineer to develop and maintain scalable data pipelines in a cloud environment supporting healthcare analytics.

Key Responsibilities

Design and develop scalable data pipelines
Integrate data from multiple sources
Maintain data quality and governance
Collaborate with data architects and stakeholders
Support enterprise analytics

Technical Overview

Role involves building data pipelines using SQL, Python, Spark, Kafka, and cloud platforms like Azure and AWS, with a focus on data integration, governance, and quality.

Ideal Candidate

The ideal candidate is a senior cloud data engineer with 5+ years of experience designing and maintaining scalable data pipelines in cloud environments, proficient in SQL and Python, with strong knowledge of Azure and AWS platforms.

Must-Have Skills

SQLPythonAzureAWSETL / ELT developmentData warehouseData lakeAPI data integrationVersion controlCI/CD practices

Nice-to-Have Skills

DatabricksSnowflakeAzure SynapseAmazon RedshiftSparkPySparkKafkaEvent HubKinesisData governanceData qualityPower BITableauHealthcare experience

Tools & Platforms

AzureAmazon Web ServicesAWSSparkPySparkKafkaPower BITableau

Required Skills

SQLPythonAzureAWSETLData warehouseData lakeAPIsSparkKafkaData governanceData qualityCI/CDPySparkKinesisHealthcare

Hard Skills

SQLStructured Query LanguagePythonAzureAmazon Web ServicesAWSData pipelinesETLELTData warehouseData lakeAPIsVersion controlCI/CDSparkPySparkKafkaEvent HubKinesisData governanceData quality

Soft Skills

problem-solvingtroubleshootingcollaborationcommunicationteamwork

Industry & Role

Industry Healthcare IT

Job Function Designing and maintaining cloud-based data pipelines for healthcare analytics

Role Subtype Cloud Engineer

Tech Domains Azure, Amazon Web Services, AWS, Spark, Python, APIs, Data warehouse, Data lake

Keywords for Your Resume

SQLPythonAzureAmazon Web ServicesAWSETLELTData warehouseData lakeAPIsVersion controlCI/CDSparkPySparkKafkaData governanceData qualityETL pipelinesKinesis

Deal Breakers

Less than 5 years of experience, Lack of cloud platform experience (Azure or AWS), No proficiency in SQL or Python

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Cloud Data Engineer

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