Azure Data Engineer - PySpark/Databricks (5-7 yrs)

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 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.