Key skills
Azure Data EngineeringPySparkPythonAzure DatabricksAzure Data FactorySQLAzure SynapseHDInsightAzure Data Lake Storage (ADLS)NoSQL DatabasesAzure Logic AppsAzure Virtual MachinesAzure SQL DatabaseAzure Stream AnalyticsData Pipeline ManagementWorkflow ManagementNoSQLData EngineeringData LakeDatabricksAzureAzure SQLLogic AppsProblem Solving
About this role
Syren is seeking a Senior Data Engineer to design and develop business-critical backend systems. The role involves building complex data pipelines and infrastructure for data extraction and transformation using Azure technologies.
Responsibilities:
- Design and develop business-critical backend systems using stream processors and high-quality data pipelines
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies
- Build a cloud-native, real-time stream processing & data lake platform that scales into the Zettabytes and beyond
- Build a data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
- Ability to automate data pipelines using DevOps tools
- Perform root cause analysis on external and internal processes and data to identify opportunities for improvement
- Build processes that support data transformation, workload management, data structures, dependency, and metadata
- Adopt for change, always open to replacing what you built yesterday with something better today
- Work with all stakeholders to design and code large-scale batch and real-time data pipelines on Azure
- Perform code reviews, and lead by example on code refactoring for readability, extensibility, and testability
Requirements:
- A bachelor's degree in computer science or equivalent
- 5+ years of experience as a Data Engineer
- Experience with Azure big data tools: Azure Databricks, Azure Synapse, HDInsight, ADLS
- Experience with relational SQL and NoSQL databases
- Excellent problem solving and analytic skills associated with working on structured and unstructured datasets using Azure bigdata tools
- Experience with data pipeline and workflow management tools: ADF and Logic Apps
- Experience with Azure cloud services: VM, Azure Databricks, Azure SQL DB, Azure Synapse
- Experience with stream-processing systems: Azure Streams
- Experience with scripting languages Python and have strong knowledge in developing Python notebooks
- Azure Data engineering
- Pyspark
- Azure Data Bricks
- Azure Data Factory
- SQL