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Azure Data Engineer

3 months ago

Pune, Maharashtra, India YASH Technologies Full time
YASH Technologies


is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we're a cluster of the brightest stars working with cutting-edge technologies.

Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hiring Azure Data Factory (ADF) Professionals in the following areas :

ExperienceYears

Job Description1)

Must have skills:
Azure data factory, Azure data bricks, Python and Pyspark2) 4 + years of professional experience with database technologies and ETL tools.3) 2+ years of hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure data factory, Azure data bricks, Python, Pyspark, etc.4) Good knowledge of AZURE Cloud platform services stack - Azure Data Factory, Azure SQL Database, AZURE Data Warehouse, Azure databricks, Azure Blob Storage, Azure Data Lake Storage, HD Insight, Cosmos DB, etc.5) Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure data factory, Azure databricks, Python, Pyspark, etc.

Required Technical Competencies

Domain/ Industry Knowledge - Working knowledge of customer's business processes and relevant technology platforms or product.
Able to analyze current state and define to-be processes in collaboration with SMEs and present recommendations with tangible benefits.
Requirement Gathering and Analysis - Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.

Able to analyze the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Technology/Product Knowledge - Working knowledge of technology product/platform standards and specifications.

Able to implement code or configure/customize products, analyze various frameworks/tools, review the code & provide inputs in design and architecture adhering to industry standards/ practices in implementation.

Architecture tools and frameworks - Working knowledge of architecture Industry tools & frameworks.

Able to identify pros/ cons of available tools & frameworks in the market and use those as per Customer requirements and explore new tools/frameworks for implementation.

Architecture concepts and principles - Working knowledge of architectural elements, SDLC, methodologies.

Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design - Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.

Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge - Familiar with a wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.