Data Engineer - SDM en Im Consulting

At IM Consulting you will work in an environment of innovative solutions and services providing added value for our clients.

You will participate in the transformation of businesses working with a team of professionals.

Who are we looking for? We have in mind people with a passion for technology, who are enthusiastic for knowledge and to grow, reliable professionals in who can place our trust, by joining a team loyal to the purpose of the organization.

How could you contribute and what would be your main goals?

By ensuring customer satisfaction in every project delivered. Delivery of the project on time and with the expected quality.

Resource Description

Data Engineer  

Knowledge on Data Architecture, Data Engineering, Data Management, Data Quality, Data Ingestion,   ETL, DBs,  on Cloud.

English Fluent

Desirable : SAP SD experience ,  ABAP; Multinational & Multicultural project experience

Bachelor Degree and Master desirable

 

Requirements

Sr Data  Engineer with experience  

2+ Data Modeling -  SQL,  Snowflake, HANA, Oracle

2+ Data Quality -   Informatica or Others

2+ Data Ingestion,   Data Pipelines, Phyton,  ETL ( informatica,  Five Tran,  SAP DS,  Kafka, etc)

2+ Data Analytics,   Experience on. MS Power BI and Tableau1+ Data Strategy, - Frameworks, Methodologies, approaches, etc

2+ Data Architecture, -  Define, designa and evolve a data ecosystem based on data platforms on cloud and connected

3+ Data Engineering, -  Data extraction, and Data Pipelines

Desirable

Data Governance, Frameworks, Methodologies, approaches, etc

Data Process & Technology,   Snowflake,  HANA DB

Master Data,    Informatica,  Scripting 

Data Security, 

English Fluent

 

Responsibilities

Collaborate, Leads and Deliver Global and complex technical Data Initiatives

Collaborate into a team of Data Specialists - Data Architects & Data Engineers

Leads conversations with business operations (English and Spanish)

Design and Evolve Data Architecture Ecosystem

Propose new ideas on data domain