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IQAnalytic Business Solution - Azure Data Engineer - ETL

58 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title :

Data Engineer (Azure)

Experience :

58 Years

Work Mode :

Onsite

Location :

Pune or Overview :
Our company is a strategic technology partner specializing in delivering reliable, turnkey AI solutions. Our experienced team of statisticians, data scientists, computer engineers, and product managers brings clarity and innovation to organizations by empowering decision-making through analytics and AI.

Responsibilities

We are committed to reshaping how AI/ML is leveraged in the service sector by delivering outcomes that truly matter. Our goal is to help businesses grow, transform, and achieve their objectives through best-in-class, value-driven data Responsibilities :
  • Design and develop scalable data pipelines and solutions on Azure cloud services.
  • Implement and manage Data Warehousing and Data Lake solutions.
  • Perform ETL operations using SSIS, Azure Data Factory (ADF), and Synapse.
  • Carry out data transformation, ingestion, integration, and modeling tasks.
  • Optimize SQL queries and improve database performance.
  • Collaborate with stakeholders to ensure accurate data delivery and reporting.
  • Follow CI/CD best practices using Azure DevOps.
  • Ensure data governance, lineage, and security compliance.
  • Integrate data from various sources, including RESTful APIs and event-driven Skills :
  • Expertise in Azure Data Factory, Synapse Analytics, SQL Server, Azure SQL, and Azure Storage
  • Proficiency in ETL processes using SSIS, ADF
  • Strong understanding of Data Warehousing and Data Lake architecture
  • Solid SQL skills with data modeling and optimization
  • Microsoft Certified : Azure Data Engineer Associate
  • Experience in working with version control (Git) and CI/CD pipelines
  • Knowledge of data governance and privacy best practices
  • Excellent problem-solving and communication Qualifications :
  • Bachelors degree in Computer Science, Information Technology, or a related field
  • Experience in event-driven architectures and Data APIs
  • Prior experience in Agile environments
(ref:hirist.tech)

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