Data Engineer

hace 1 mes


Guadalajara, México Azka IT Consulting A tiempo completo

AZKA IT is a Mexican company that seeks and connects the best IT talent with Latin American and United States companies.


We are looking for your talent as Data Engineer (IBM) & DataStage





Requirements:


Perfil 1


Data Engineer (IBM)

Work location GDL hybrid

4 years (minimum) 

 

Desired Competencies (Technical/Behavioral Competency)

Must-Have

·      IBM Datastage (or) Informatica, SQL, Unix

 

Good-to-Have

·      DBT, Python (Pandas, Numpy, Matlib), Snowflake

 

  

Perfil 2


Data Stage

Work location: GDL, MTY, QRO, CDMX

3 years (minimum)

 

DataStage Developer Responsibilities:

  • Reviewing and discussing briefs with key personnel assigned to projects.
  • Designing and building scalable DataStage solutions.
  • Configuring clustered and distributed scalable parallel environments.
  • Updating data within repositories, data marts, and data warehouses.
  • Assisting project leaders in determining project timelines and objectives.
  • Monitoring jobs and identifying bottlenecks in the data processing pipeline.
  • Testing and troubleshooting problems in ETL system designs and processes.
  • Improving existing ETL approaches and solutions used by the company.
  • Providing support to customers about issues relating to the storage, handling, and access of data.
  • Knowledge in Control M
  • Unix scripting


DataStage Developer Requirements:

  • Bachelor's degree in computer science, information systems, or a similar field.
  • Demonstrable experience as a DataStage developer.
  • IBM DataStage certification or similar type of qualification. (plus)
  • Proficiency in SQL or another relevant coding language.
  • Experience or understanding of other ETL tools, such as Informatica, Oracle ETL, or Xplenty.
  • Knowledge of data modeling, database design, and the data warehousing ecosystem.
  • Skilled at the ideation, design, and deployment of DataStage solutions.
  • Excellent analytical and problem-solving skills.
  • The ability to work within a multidisciplinary team.



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