Azure Data Engineer Walk In Drive at Noida

Tata Consultancy Services; Dadri; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Tata Consultancy Services in Noida is hiring an Azure Data Engineer to design, develop and maintain robust data pipelines and architectures that support advanced analytics and business intelligence initiatives. The role requires 6-12 years of experience, expertise in SQL, Python, Databricks and Azure Data Factory.

Familiarity with Snowflake, Denodo and Power BI is a plus. You will build and optimize ETL/ELT processes, develop Snowflake data models, and implement data virtualization to enable

Qualifications

• 6-12 years of data engineering experience.
• Experience with ETL/ELT design and implementation.
• Snowflake data models experience and Denodo exposure a plus.

Responsibilities

• Design, develop and maintain robust data pipelines and architectures.
• Build and optimize ETL/ELT processes using Python and SQL.
• Develop Snowflake data models and warehouse solutions.
• Implement Denodo data virtualization for unified data delivery.

Tools

ADF

Databricks

Python

Snowflake

SQL

Job description

Role & responsibilities

SN

Required Information

Details

• 1
• Role Name
• Azure Data Engineer
• 2
• Technical Skill Set Required
• ADF, Databricks, Python ,Snowflake ,,SQL
• Required Experience Range
• 6-12 Years
• Location of Requirement
• Noida,
• Desired Competencies (Technical/Behavioral Competency)
• Must-Have
• SQL,Python,Databricks,Azure Datafactory
• Good-to-Have
• Snowflake ,Powe BI,Denodo
• Certifications Required
• DP203, DP 700, AI 900,
• SN

Role descriptions / Expectations from the Role

• 1
• As a Data Engineer , responsible for designing , developing and maintaining robust data pipelines and architectures to support advanced analytics and business intelligence initiatives.
• 2
• Build and Optimize ETL/ELT process using Python and SQL.
• 3
• Develop and maintain Snowflake data models and warehouse solutions.
• 4
• Implement Denodo data virtualization for unified and agile data delivery.