Azure Data Architect (Senior) @ Infogain

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Azure Data Architect (Senior)

Infogain
14 - 16 years
Bengaluru
3 months ago
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Job Description

Qualifications and Skills: Bachelor s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
10+ years of experience in data engineering, with a focus on scalable architecture design
Proven track record of designing end-to-end architecture for large-scale data migration initiatives
Experience working with Azure cloud platforms, including Azure Databricks, Azure Data Factory, and Blob Storage
Familiarity with deployment pipelines, supporting UAT, release planning, and production rollouts. Job Description:
Define end-to-end architecture for SAS to PySparkmigration.
Proven experience in data migration projects, specifically migrating from SAS to PySpark.
Proficiency in SAS, Spark, and Python programming languages
Strong understanding of data integration, ETL, and data warehousing concepts.
Familiarity with cloud platforms Azure
Support UAT and production deployment planning.
Strong communication and collaboration skills

EXPERIENCE

14-16 Years

SKILLS

Primary Skill: Data Engineering
Sub Skill(s): Data Engineering

Additional Skill(s): SAS, ETL, Databricks, Azure Data Factory, Pyspark

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DBA / Data warehousing
Role: Data warehouse Architect / Consultant
Employement Type: Full time

Contact Details:

Company: Infogain
Location(s): Bengaluru

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Keyskills: Computer science SUB Data migration SAS data science Architectural design Data Architect Programming Data warehousing Python

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Infogain

A Silicon-Valley headquartered company, Infogain is a global business oriented IT consulting provider of front-end, customer-facing technologies, processes and applications, leading to a more efficient and streamlined customer experience. We want our clientsâ‚¬â„¢ interactions with their cus...

Azure Data Architect (Senior) @ Infogain

Home > DBA / Data warehousing