Hiring Data Engineer 8+ Yrs

2coms

Job Location:

Bengaluru - India

Monthly Salary: INR 900000 - 2400000

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

About the Company:

Our client is a leading Global Fortune 500 IT solutions company that specializes in providing simple and scalable solutions to solve complex business challenges. With a workforce of over 500000 employees they offer technical and domain expertise across various platforms and industries to assist enterprise companies in enhancing productivity efficiency and optimizing their technology investments.

Role : Data Engineer
Designation: ManagerExperience: 8 yrs

Budget : 30 LPA
Notice period: Immediate - 60 days

Requirements

Key Responsibilities

Data Integration: Architect and develop complex ETL/ELT workflows using Azure Data Factory (ADF) to ingest data from diverse sources.
Big Data Processing: Utilize Azure Data bricks to build robust Spark-based data transformation layers ensuring optimized performance for large-scale datasets.
Workflow Automation: Design and implement automated business processes and event-driven workflows using Azure Logic Apps.
Database Engineering: Write and optimize sophisticated SQL queries stored procedures and scripts to manage and transform data within Azure SQL environments.
Cloud Architecture: Collaborate on the design of cloud-native data architectures that are secure scalable and highly available.

Required Technical Skills

Azure Data Stack: Expert-level experience with Azure Data Factory (ADF) and Azure Databricks.
Automation: Proven experience building serverless workflows with Azure Logic Apps.
Data Languages: Mastery of SQL (T-SQL/Spark SQL) and familiarity with Python or Scala for Data bricks notebooks.
Cloud Platforms: Comprehensive understanding of the Azure ecosystem including Azure Data Lake Storage (ADLS) and Azure SQL Database.

Required Skills:

Role : Data Engineer Designation: ManagerExperience: 8 yrs Budget : 30 LPA Notice period: Immediate - 60 days Requirements Key Responsibilities Data Integration: Architect and develop complex ETL/ELT workflows using Azure Data Factory (ADF) to ingest data from diverse sources. Big Data Processing: Utilize Azure Data bricks to build robust Spark-based data transformation layers ensuring optimized performance for large-scale datasets. Workflow Automation: Design and implement automated business processes and event-driven workflows using Azure Logic Apps. Database Engineering: Write and optimize sophisticated SQL queries stored procedures and scripts to manage and transform data within Azure SQL environments. Cloud Architecture: Collaborate on the design of cloud-native data architectures that are secure scalable and highly available. Required Technical Skills Azure Data Stack: Expert-level experience with Azure Data Factory (ADF) and Azure Databricks. Automation: Proven experience building serverless workflows with Azure Logic Apps. Data Languages: Mastery of SQL (T-SQL/Spark SQL) and familiarity with Python or Scala for Data bricks notebooks. Cloud Platforms: Comprehensive understanding of the Azure ecosystem including Azure Data Lake Storage (ADLS) and Azure SQL Database.

Required Education:

any graduate or post graduate

About the Company:Our client is a leading Global Fortune 500 IT solutions company that specializes in providing simple and scalable solutions to solve complex business challenges. With a workforce of over 500000 employees they offer technical and domain expertise across various platforms and industr...