IN

IT Data Engineer

Infor
Hyderabad3-8 LPA Posted 12 May 2025
FULL TIME
Data Modeling
Data Science
Data Visualization
Hp Data Protector
Digital Transformation
+4 more

Job Description

The Data Engineer will be responsible for development, transformation and ongoing quality management of business data objects sourced from a wide range of internal/external systems with differing storage types.

 

Required Skills:

  • Strong understanding of data modeling principles and techniques
  • Proficiency in SQL coding, including complex queries, joins, and subqueries.
  • Knowledgeable with data warehousing concepts, including ETL processes, dimensional modeling, and data mart design.
  • Knowledge of or experience in data vault methodology
  • Knowledge of SQL and experience working with enterprise data warehousing systems
  • Experience in requirements gathering, including eliciting, analyzing, and documenting business requirements.
  • Ability to develop and optimize stored procedures for data manipulation and transformation.

Preferred Qualifications:

  • Experience in Agile/Scrum methodologies or working in Sprint-based development teams.
  • Proficiency in using Business Intelligence (BI) tools such as Birst, PowerBI, and Tableau for data visualization and reporting.
  • Familiarity with modern Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes and tools.
  • Experience with cloud platforms, particularly Amazon Web Services (AWS)

A Day in The Life Typically Includes:

  • Develop and enhance modeled Data Sets within visualization tools.
  • Collaborate with the Data Analyst team to understand visualization requirements and assist in building visualizations and dashboards that meet business needs.
  • Ensure the security and integrity of published data by implementing appropriate access controls and data protection measures

Role: Data Engineer

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

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