Senior Data Engineer @ Iris Software

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Senior Data Engineer

Iris Software
6 - 11 years
Noida, Gurugram
8 months ago
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Job Description

Iris Software has been a trusted software engineering partner to several Fortune 500 companies for over three decades. We help clients realize the full potential of technology-enabled transformation by bringing together a unique blend of domain knowledge, best-of-breed technologies, and experience executing essential and critical application development engagements.

Tittle- Sr Data Engineer/ Lead Data Engineer

Experience- 5-12 years

Location- Delhi/NCR, Pune

Shift- 12:30- 9:30 pm IST

6+ years of experience in data engineering with a strong focus on AWS services.

Proven expertise in:

Amazon S3 for scalable data storage
AWS Glue for ETL and serverless data integration using
Amazon S3, DataSync, EMR, Redshiftfor data warehousing and analytics
Proficiency in SQL, Python, or PySpark for data processing.
Experience with data modeling, partitioning strategies, and performance optimization.
Familiarity with orchestration tools like AWS Step Functions, Apache Airflow, or Glue Workflows.

If Intersted, Kindly share your resume on ka*********h@ir*********e.com

Note- Notice Period max 1 month

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Iris Software
Location(s): Noida, Gurugram

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Keyskills: Airflow EMR Aws Glue Redshift SQL Pyspark Data Modeling Apache Python

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Expected Salary (*)

Desired Industry (*):

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.

Add social media [ + ]

Create password

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Iris Software

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Senior Data Engineer @ Iris Software

Home > Data Science & Machine Learning