Data Modeler MAHIN-JOB-35030

Keylent, Inc.

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data modeling and engineering roles
  • Proficiency with Erwin and Informatica (IICS)
  • Experience with PowerCenter, Spark, and SQL
  • Familiarity with AWS services (S3, Lambda, EMR)
  • Strong programming skills in Python

Responsibilities

  • Develop and maintain scalable data models for efficient storage and retrieval
  • Design and implement ETL processes for data integration
  • Manage databases including schema design and optimization
  • Collaborate with customers to understand AWS requirements
  • Document data models and communicate updates to stakeholders

Benefits

  • Onsite work from Day 1 in Franklin, TN
  • Opportunities to work with cutting-edge AWS technologies
  • Collaborative environment with direct customer interactions
  • Focus on professional development and skill enhancement
  • Access to resources for improving data architecture practices
Full Job Description
Data Modeler MAHIN-JOB-35030
Designation : Data Modeler/Data Engineer

Location :- Franklin TN (Day 1 Onsite)

Skill set:
1. Erwin
2. Informatica (IICS)
3. PowerCenter
4. Spark
5. SQL
6. WS Services - S3, Lambda, EMR
7. Programing Languages - Python
  • Data Architecture Design: Develop and maintain data models that organize and structure data for efficient storage, retrieval, and analysis, ensuring scalability and performance.
  • ETL Development: Design and implement Extract, Transform, Load (ETL) processes to integrate data from various sources into the data warehouse or data lake, ensuring data quality nd consistency(preferably in Snowflake/AWS ETL services).
  • Database Management: Manage databases, including schema design, optimization, and maintenance tasks, to support data modeling and ensure data integrity and security.
  • AWS skills: Collaborate with customers to understand their requirements and provide solutions in AWS (preferably).
  • Technical Documentation and Communication: Document data models, ETL processes, and database configurations, and effectively communicate with stakeholders to convey technical concepts and project updates.

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