Job opening - Data Engineer - Lead in Bucuresti | Randstad

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summary

bucuresti, bucuresti
permanent

specialism
it, telecom
reference number
2096

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job details

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Offer

Job Responsibilities:

Design, build and deploy optimized, sustainable data pipelines and data products leveraging ELC best practices and development frameworks
Manage delivery across multiple concurrent data ingestion projects; ability to adjust prioritization according to business needs by applying principles of agile
Maintain and evolve the data ingestion framework and collaborate with the other team members to make architectural changes
Define and evolve best practices, standards and guidelines; assist in rolling out Continuous Integrations and Delivery methodology
Coach data engineers on best practices and technical concepts behind large-scale data platform
Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans and results, data integration specifications, etc.

Qualifications

Technical Skills and Qualifications:

Mandatory:

Strong SQL skills and experience with major database platforms (e.g.: SQL Server, Oracle, Snowflake, Redshift)
Solid experience working with ELT/ETL tools like Data Factory, Matillion, Informatica and SSIS or orchestration tools like Airflow, Astronomer and Cloud Composer
Programming experience, preferably Python

Nice to have:

Familiarity with Cloud Service Providers; Azure highly desired.
PySpark; coding in distributed computing environments, Databricks preferred.

Relevant Experience:

Data/Analytics Project experience involving SAP data
Data/Analytics Project experience in CPG or Retail; Beauty industry a plus.
Project experience that demonstrates strong analytic skills to understand business problems and initiative to solve problem statements with insights derived from data

show more

Offer

Job Responsibilities:

Design, build and deploy optimized, sustainable data pipelines and data products leveraging ELC best practices and development frameworks
Manage delivery across multiple concurrent data ingestion projects; ability to adjust prioritization according to business needs by applying principles of agile
Maintain and evolve the data ingestion framework and collaborate with the other team members to make architectural changes
Define and evolve best practices, standards and guidelines; assist in rolling out Continuous Integrations and Delivery methodology
Coach data engineers on best practices and technical concepts behind large-scale data platform
Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans and results, data integration specifications, etc.

Qualifications

Technical Skills and Qualifications:

Mandatory:

Strong SQL skills and experience with major database platforms (e.g.: SQL Server, Oracle, Snowflake, Redshift)
Solid experience working with ELT/ETL tools like Data Factory, Matillion, Informatica and SSIS or orchestration tools like Airflow, Astronomer and Cloud Composer
Programming experience, preferably Python

Nice to have:

Familiarity with Cloud Service Providers; Azure highly desired.
PySpark; coding in distributed computing environments, Databricks preferred.

Relevant Experience:

Data/Analytics Project experience involving SAP data
Data/Analytics Project experience in CPG or Retail; Beauty industry a plus.
Project experience that demonstrates strong analytic skills to understand business problems and initiative to solve problem statements with insights derived from data

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