data engineer

şimdi başvur

iş ilanı detay

IT & Telekomünikasyon
referans numarası

iş tanımı

We are looking for a Data Engineer for our client that operates with international Insights and Data Consultants to enable their clients making better business decisions by transforming an ocean of data into streams of insight.

The Data Integration Engineer will be responsible for analyzing the business requirements design develop and implement highly efficient highly scalable ETL processes,
Candidate is required to perform daily project functions with a focus on meeting the business objectives on time in rapidly changing work environment,
At least 2 years of experience with ETL tools,
Thorough understanding of DWH and BI Dashboard Reporting concepts,
Understanding of Data Models Conceptual Logical and Physical,
Dimensional Relational Data Model Design Develop detailed ETL specifications based on business requirements,
Analyze functional specifications and assist in designing potential technical solutions,
Identifies data sources and works with source system team and data analyst to define data extraction methodologies,
Ideally proficient in ETL Informatica,
Defines develops documents and maintains Informatica ETL mappings and need to be well versed in Unix shell scripting.


Strong ETL skills with Experience in Informatica PowerCenter, Talend, SSIS,
Evidence of building with dynamic mappings,
Strong in programming languages such as JAVA or scripting in Unix / Python,
Experience in building re-usable components using ETL solutions,
Experience in performance optimization, fine tune of batch etc.
Experience in building frameworks such as metadata based - error handling/restart-ability/reprocessing, reconciliation frameworks, Audit trails, etc.
Experience in handling data format such as JSON/Parquet/ XML,
Excellent knowledge on Informatica platform and the integration among different Informatica components and services,
Data Analysis Data Profiling Root Cause Analysis Source to Target Mapping,
Experience in design and development of back-end data model, Data warehouse (DWH), Migration and other associated tools,
Should be able to understand Data Warehouse architecture and code,
Should be able to understand system processes and data flow,
Can work independently,
Proficient in English.
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