Key skills
Azure Cloud ServicesAWS Cloud ServicesDatabricksSnowflakeSQLPythonCI/CD PipelinesData ModelingTerraformStreaming FrameworksData GovernanceMDM ToolsPerformance OptimizationData EngineeringAnalyticsSparkApache SparkKafkaAWSAzureKinesisCI/CD
About this role
United Pharma is seeking a Senior Cloud Data Engineer with expertise in Azure and AWS cloud services. The role involves building and optimizing data pipelines, utilizing tools such as Databricks and Snowflake, while ensuring best practices in data modeling and CI/CD workflows.
Responsibilities:
- Experience in data engineering
- Strong experience with Azure and/or AWS cloud services
- Hands-on experience with Databricks and Apache Spark
- Strong working knowledge of Snowflake
- Experience building CI/CD workflows for data pipelines
- Proficiency in SQL and Python
- Solid understanding of data modeling techniques
Requirements:
- Must have 9+ years of experience
- Experience in data engineering
- Strong experience with Azure and/or AWS cloud services
- Hands-on experience with Databricks and Apache Spark
- Strong working knowledge of Snowflake
- Experience building CI/CD workflows for data pipelines
- Proficiency in SQL and Python
- Solid understanding of data modeling techniques
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Snowflake certification (SnowPro)
- Azure Data Engineer Associate or AWS Data Analytics certification
- Experience with Terraform or other IaC tools
- Experience with streaming frameworks (Kafka, Event Hub, Kinesis)
- Exposure to Data Governance and MDM tools