27 dic
Adecco Group

27 dic

Adecco Group


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.


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


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


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.



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