JOB DESCRIPTION 

• Know about the access mechanisms of the required data sources and be able to pull the data from data sources as per the requirements confirmed by data scientists and business analysts.
• Able to provide the data from data sources for data cleansing, transformation, ML components, and dashboards.
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets as per ML algorithm requirement
• Collaborate with data scientist, business analyst, and BI Developer to develop and test the dashboard
• Able to deal with access issues from data sources
• Play a key role in finalizing the POC environment and ensuring the feasibility

REQUIREMENTS

• Using ETL ODI, OAS, Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Strong experience working on analytics solutions using Python/R to build data pipelines.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

* Please send your application via email: [email protected]