AWS Data Engineer (Senior) @ Infogain

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AWS Data Engineer (Senior)

Infogain
3 - 8 years
Pune
7 months ago
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Job Description

Data Engg Lead

Overall Expertise to work as individual contributor at expert level

Minimum 3+ years of hands-on experience with Apache Spark and Scala in a data engineering.

Strong knowledge of AWS services (EMR, S3, EC2 etc.).

Understanding of data warehousing concepts and exposure to Redshift DB is highly desirable.

Proficient in SQL and ETL tools.

EXPERIENCE

6-8 Years

SKILLS

Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): AWS-Apps, SQL, AWS DBA, Redshift

Job Classification

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

Contact Details:

Company: Infogain
Location(s): Pune

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Keyskills: SUB spark SCALA Database administration Individual Contributor AWS Data warehousing SQL

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Functional area / Department (*):

Enter Skills (key skills, subjects, technologies & roles to use in search)

Write briefly about yourself, your experience and education (*)

Attach ResumeMax 2.38 MB (RTF, PDF, DOC, DOCX formats only parsed)

Please, check the file size and type.

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Infogain

A global digital engineering company delivering technology solutions that accelerate business outcomes. It specializes in cloud, data, AI, and experience-led transformation for enterprises across industries.

AWS Data Engineer (Senior) @ Infogain

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