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ETL Data - Senior Engineer @ Iris Software

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 ETL Data - Senior Engineer

Job Description

We are looking for a skilled Senior Engineer with expertise in ETL Data to join our team in Noida, UP, India. The ideal candidate will have a strong background in data integration and analysis.
Roles and Responsibility
  • Design and develop scalable ETL pipelines using AWS Glue and other data integration tools.
  • Collaborate with cross-functional teams to identify and prioritize project requirements.
  • Develop and maintain large-scale data warehouses using Snowflake and other cloud-based technologies.
  • Ensure high-quality data validation and quality control processes are in place.
  • Work closely with business stakeholders to understand their needs and provide solutions.
  • Optimize and improve existing ETL processes for better performance and efficiency.
Job Requirements
  • Strong knowledge of Python programming language and its applications in ETL development.
  • Experience with data warehousing concepts and technologies such as SSIS and DWH.
  • Familiarity with cloud-based platforms like AWS, including Tensorflow on AWS, Amazon Data Pipeline, and AWS Redshift.
  • Understanding of data quality validation principles and practices.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

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:   Etl Tensorflow Etl Pipelines Data Validation Quality Validation Programming Python Programming Ssis Redshift Data Integration Data Quality Integration Tools Snowflake Programming Language Data Warehousing Aws Python Quality Control

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