Hiring for ETL Informatica Developer

PATH INFOTECH PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A tech solutions provider in Singapore seeks a data engineer with a minimum of 4 years of experience in data engineering and expertise in AWS or Azure services. The candidate should be accomplished in designing ETL data mappings and possess strong analytical skills. Familiarity with BI tools like Tableau and programming languages such as Python is essential. This role entails implementing data integration strategies and resolving complex data issues.

Qualifications

• Minimum 4 years of experience in data engineering.
• Expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
• Understanding of data integration concepts and ETL processes.

Responsibilities

• Implement at least 2 project cycles in data projects.
• Design and implement ETL data mappings, transformations, and workflows.
• Make recommendations for resolving data issues in performance assessments.

Skills

AWS or Azure expertise

ETL software proficiency

Strong analytical skills

Informatica knowledge

Oracle SQL proficiency

BI tools like Tableau

Python programming

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.