Data Engineer - Offshore

5 - 7 years

12 - 15 Lacs

Posted:2 days ago| Platform: Naukri logo

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Full Time

Job Description


Asa DataEngineer in our team, you will be responsible for assessing complexnew data sources and quickly turning these into business insights. You alsowill support the implementation and integration of these new data sources intoour Azure Data platform.
Responsibilities:
Youare detailed reviewing and analyzing structured, semi-structured andunstructured data sources for quality, completeness, and business value.
Youdesign, architect, implement and test rapid prototypes that demonstrate valueof the data and present them to diverse audiences.
Youparticipate in early state design and feature definition activities.
Responsiblefor implementing robust data pipeline using Microsoft, Databricks Stack
Responsiblefor creating reusable and scalable data pipelines.
Youare a Team-Player, collaborating with team members across multiple engineeringteams to support the integration of proven prototypes into core intelligenceproducts.
You have strong communication skills to effectivelyconvey complex data insights to non-technical stakeholders.
Skills:
Advancedworking knowledge and experience with relational and non-relational databases.
Advancedworking knowledge and experience with API data providers
Experience buildingand optimizing Big Data pipelines, architectures, and datasets.
Strong analyticskills related to working with structured and unstructured datasets.
Hands-on experiencein Azure Databricks utilizing Spark to develop ETL pipelines.

 
Strong proficiency indata analysis, manipulation, and statistical modeling using tools like Spark,Python, Scala, SQL, or similar languages.
Strongexperience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, EventHub, Azure Synapse.
Familiaritywith several of the following technologies: Event Hub, Docker, Azure KubernetesService, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services.
AzureDevOps experience to deploy the data pipelines through CI/CD.
Qualifications andExperience:
Minimum5-7 years of practical experience as Data Engineer.
  • Bachelor degree in computer science, software engineering, information technology, or a related field.
    Azure cloud stackin-production experience.

     

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