Job Summary:
The Data Engineer will be primarily responsible for the data integration (ETL)
between our operational data sources and central data-lake and creating
specific data-marts according to data analytics team's needs.
Job Responsibilities:
Management of data inflow
Create and maintain optimal data pipeline architecture; adopt new technologies
to improve existing frameworks of data flow and monitoring
Assemble large, complex data sets that meet functional / non-functional
business requirements
Build the infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of data sources using SQL and ‘big data’
technologies; take necessary steps to implement necessary changes in the IT
infrastructure such as MDM tool acquisition, data lake design, cloud solutions
implementation in coordination with IT and technology coordinator
Create data tools for analytics and data science team members that assist them
in building models by automating and simplifying data preparation
Translate customer data strategy into actionable data integration plans and
execute these plans
Maintain 360 degree view of customer, enhance the customer datamarts by
continuously integrating new sources of data
Data cleansing and unification
Create automated data anomaly detection systems and constant tracking of its
performance
Process, cleanse, and verify integrity of data used for analysis; active use
of built-in data quality dashboard on CDP and coordination of corrective
actions
Develop algorithms to de-duplicate and export customer data from multiple BUs
to ensure data unification
Ensure continuous unification of customer records and associated profile and
transactional data
Candidate Requirements:
Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or
related field
Understanding of data modeling principles
5+ years of significant configuration and data management experience;
comfortable handling and manipulating data, with demonstrated experience in a
data-intensive setting
Professional working experience on ETL Process for customer and transactional
data
Professional project expertise preferably on Talend, Matillion or any
equivalent ETL Tools
Expert level knowledge of RDBMS Scripting Language (MS SQL, Oracle, Postgres,
etc..)
Experience working in a cloud environment preferably AWS
Experience identifying data anomalies or imperfections
Experience of data structures and schemas, data preparation, cleansing and
unification
Possess the ability to train others – pass on knowledge within the
organization
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Long Description Job Summary Data integration , unification, cleansing and data quality management Job Responsibilities Management of data inflow Create and maintain optimal data pipeline architecture; adopt new technologies to improve existing frameworks of data flow and monitoring …
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