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Smartedge IT Services
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Azure Data engineer - Python/ETL (5-7 yrs)
Smartedge IT Services
posted 2d ago
Fixed timing
Key skills for the job
Job Role : Azure Data Engineer.
Job Locations : Pune , Bangalore or Hyderabad.
Required Experience : 5 7 Years.
Skills : Azure, Azure ADF , Databricks, Azure Synapse, Python , Pyspark.
Roles And Responsibilities :
- You are detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness, and business value.
- design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
- You participate in early state design and feature definition activities.
- Responsible for implementing robust data pipeline using Microsoft, Databricks Stack-.
- Responsible for creating reusable and scalable data pipelines.
- You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
- You have strong communication skills to effectively convey complex data insights to non-technical stakeholders.
- You have an experience working collaboratively in cross-functional teams and manage multiple projects simultaneously.
Critical Skills To Possess :
- Advanced working knowledge and experience with relational and non-relational databases.
- Experience building and optimizing Big Data pipelines, architectures, and datasets.
- Strong analytic skills related to working with structured and unstructured datasets.
- Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines.
- Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages.
- Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.
- Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services.
- Azure DevOps experience to deploy the data pipelines through CI/CD.
- Minimum 5-7 years of practical experience as Data Engineer.
Preferred Qualifications :
- BS degree in Computer Science or Engineering or equivalent experience.
Functional Areas: Other
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