Azure Data Engineer--ADF,Databricks,Python ,Snowflake ,Denodo,SQL.

Tata Consultancy Services; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services is seeking a Data Engineer to design, develop and maintain robust data pipelines and architectures to support analytics and BI initiatives. You will build and optimize ETL/ELT processes using Python and SQL.

The role requires hands-on experience with Snowflake data models, Denodo data virtualization, and Azure Data Factory, with 5-15 years in data engineering. Location options include multiple Indian cities as per project needs.

Qualifications

• 5-15 years of hands-on data engineering experience.
• Experience designing, developing, and maintaining robust data pipelines.
• Proficiency in ETL/ELT processes and data models for analytics.

Responsibilities

• Design and develop robust data pipelines and architectures to support analytics and BI initiatives.
• Build and optimize ETL/ELT processes using Python and SQL.
• Develop and maintain Snowflake data models and warehouse solutions.

Skills

ADF

Databricks

Python

Snowflake

Denodo

SQL

Job description

Exp Must 8+ Location of Requirement Noida, Bangalore, Hyderabad, Pune, Mumbai, Kolkata

2 Technical Skill Set Required ADF,Databricks,Python ,Snowflake ,Denodo,SQL.

3 Total No of Requirements

4 Required Experience Range 5-15 Years

5 Location of Requirement Noida, Bangalore, Hyderabad, Pune, Mumbai, Kolkata

Desired Competencies (Technical/Behavioral Competency)

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 deliver Data Engineer

Responsibilities

• As a Data Engineer , responsible for designing, developing and maintaining robust data pipelines and architectures to support advanced analytics and business intelligence initiatives.
• Build and Optimize ETL/ELT process using Python and SQL.
• Develop and maintain Snowflake data models and warehouse solutions.

Qualifications

Required Skills

• Technical Skill Set Required ADF, Databricks, Python, Snowflake, Denodo, SQL.
• Desired Competencies (Technical/Behavioral Competency) Must-Have SQL, Python, Databricks, Azure Data factory
• Required Experience Range 5-15 Years

Preferred Skills

• Certifications Required DP203, DP 700, AI 900, SN