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Data Architect @ Tata Consultancy

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 Data Architect

Job Description

Dear Candidate,

Greetings from TATA CONSULTANCY SERVICES LIMITED!!!

Thank you for exploring career opportunities with Asia's largest IT company.

Exciting # Job Opportunities for # Experienced Professionals

Required Skill# Experience- Data Architect (Snowflake)

Experience Range# 10Yrs to 12Yrs.

Interview Location # Anywhere in India

Work Location # Bangalore Hyderabad

Date of Interview  12th January 2025 (Monday)

JD -

  • Design, develop and maintain data integration workflows using the Matillion ETL/ELT tool.
  • Extract, load and transform data from various sources such as SQL Server, Oracle, Salesforce, etc. via Matillion into a cloud data warehouse (Snowflake)
  • Identify, promote, and support changes in processes and procedures needed to ensure improved data collections, cleansing, and standardization.
  • Create and optimize complex SQL queries and stored procedures.
  • Ensure data quality, security and compliance with best practices and standards

Interested candidate please share an updated copy of resume & EP REFERENCE ID with am******m@***.com by asap- with following details.

  1. Total years of Exp:
  2. Email ID:
  3. Present Company:
  4. Current & Preferred Location:
  5. Mobile No.:
  6. Current CTC:
  7. Expected CTC:
  8. Notice Period (if possible 30 to 45 Days preferred):
  9. Working with TCS /CMC (Direct Payroll) earlier (Yes/ NO):
  10. No Of job change-
  11. Preferred time of interview between (10am to 6pm)-

Thanks & Regards
Amit Ram
Tata Consultancy Services Limited.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Tata Consultancy
Location(s): Hyderabad

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Keyskills:   Snowflake Data Architecture Data Modeling ETL AWS

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Tata Consultancy

We are hiring Fulltime with TechMahindra for below mentioned Skills:\\\\n\\\\n1. Experience with Big Data Environment\\\\n\\\\n2. Hands on coding in Python, Spark, Hive\\\\n\\\\n3. Shell Scripting