[VB-856] | DATA ENGINEER

[VB-856] | DATA ENGINEER

27 dic
|
Adecco Group
|
Azcapotzalco

27 dic

Adecco Group

Azcapotzalco

Responsibilities :



Design, develop, and own ETL pipelines that deliver data with measurable quality and accuracy, allowing Imperfect to extract more



insights from existing data and take advantage of new sources



Write production-quality (i.e., accurate, performant, and maintainable) data transformation code to meet the needs of analysts, data



scientists, and other business partners



Support data analytics platforms and data science workflows pipeline tools



Partner and work closely with the QA Engineers to develop automated tests



Drive efforts to improve the data quality across data pipelines and implement system controls for managing data quality



Automate test coverage (90+%) for data pipelines,

best practices and frameworks for unit, functional and integration tests.



Qualifications



5-8 years hands on big data manipulation (cleansing data, ingestion pipelines, validation rules, transformation, maintaining and scaling



pipelines)



Solid understanding of data modeling concepts



Understanding of data flows, data architecture, ETL and processing of structured and unstructured data



Cloud platform migration experience will be an added advantage.



Ability to effectively interpret technical and business objectives and challenges, and articulate solutions.



Strong programming knowledge in Java / Scala / Python; SQL, Spark



Experience working on any Hadoop distribution, and have some exposure to Hive, Java M / R, Spark, SQL & No SQL databases will be a



plus



Strong experience with UNIX / Shell / Python scripting.



Experience in AWS services for data like S3, Datasync, EMR, Event Bridge, Firehose kinesis, Glue catalog, Glue ETL, Redshift, Aurora



DB, RDS and Dynamo DB a plus



Experience with data science and machine / deep learning a plus



Solid understanding of CI / CD principles and best practices.



EXTRA BENEFITS



HIRING WITH VOLKS WAGEN

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