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Hiring for ETL Informatica Developer

Path Infotech

Singapore

On-site

SGD 70,000 - 90,000

Full time

Today
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Job summary

A technology company in Singapore is seeking an experienced Data Engineer with a strong background in AWS or Azure services and ETL processes. The ideal candidate will have a minimum of 4 years of experience, proficiency in data integration concepts, and familiarity with BI software like Tableau. Join us to design and implement innovative data solutions and contribute to performance assessments for complex data transformations.

Qualifications

  • Minimum 4 years of experience in data engineering.
  • Hands-on experience in project lifecycle and implementation in at least 2 projects.
  • Strong problem-solving and analytical skills.

Responsibilities

  • Design and implement ETL data mappings and transformations.
  • Evaluate technical solutions to resolve data performance issues.
  • Work with BI software for data model design.

Skills

Data engineering
Cloud services (AWS or Azure)
ETL processes
Data integration concepts
SQL (Oracle, Teradata, MS-SQL)
Business Intelligence (BI) software

Tools

Informatica PowerCenter
Informatica Cloud Data Integration
Oracle Analytics Server
Tableau
Databricks
Job description

Minimum 4 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.

  • Understanding and hands on experience in all phases of project lifecycle & has implementation involvement in at least 2 project cycles
  • Experience in AWS Services focusing on ETL and data processing using ETL software: Informatica PowerCenter, IDMC, Informatica Cloud Data Integration for PowerCenter (CDI-PC), Informatica Data Engineering Integration (DEI)
  • Strong understanding of data integration concepts, ETL process and data quality management.
  • Accomplished in designing and implementing ETL data mappings, transformations, and workflows.
  • Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
  • Strong in Business Intelligence data model design and proficient in BI software such as Oracle Analytics Server (OAS), Tableau
  • Strong knowledge of Oracle SQL and NoSQL databases, equipped with key SQL Skillsets on databases such as Oracle, Teradata and MS-SQL Server.
  • Working knowledge on BI standard languages such as Python, Java, VBA
  • Excellent problem-solving and analytical skills.
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