Sr Azure Data Engineer ( REMOTE - Freelance)

Sr Azure Data Engineer

Mandatory Skills:

Azure Data engineering, Pyspark, Python, Azure Data Bricks, Azure Data Factory, SQL.

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 extrssaction, 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

• 8+ 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.

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