
Cloud Data Solutions Architect
4 days ago
Data Engineer Role at Techcarrot
As a data engineer in our team, you will be responsible for assessing complex new data sources and turning them into business insights. You will support the implementation and integration of these new data sources into our Azure Data platform.
About the Job:- You will review and analyze structured, semi-structured, and unstructured data sources for quality, completeness, and business value.
- You will design, architect, implement, and test rapid prototypes that demonstrate the value of the data and present them to diverse audiences.
- You will participate in early-stage design and feature definition activities.
- You are responsible for implementing robust data pipelines using Microsoft, Databricks Stack.
- You will create reusable and scalable data pipelines.
- You will collaborate with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
- You will effectively convey complex data insights to non-technical stakeholders.
- You will work collaboratively in cross-functional teams and manage multiple projects simultaneously.
- You have an advanced working knowledge and experience with relational and non-relational databases.
- You have experience building and optimizing Big Data pipelines, architectures, and datasets.
- You have strong analytic skills related to working with structured and unstructured datasets.
- You have hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines.
- You have strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages.
- You have strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.
- You have familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services.
- You have experience deploying data pipelines through Azure DevOps.
Minimum Requirements:
- A minimum of 5-7 years of practical experience as a Data Engineer.
- Bachelor's degree in computer science, software engineering, information technology, or a related field.
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