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ETL Developer

2 months ago

Metro Manila, Philippines Digital Room (Philippines) , Inc. Full time

Responsibilities:

· Assist in the decision-making process related to the selection of data architecture solutions

· Provide consultation on complex ETLs

· Research improvements in ETL development standards

· Ability to understand complex challenges and lead teams of data engineers

· Consolidate and optimize available data warehouse infrastructure

· Collaborate with business and technology stakeholders in ensuring data warehouse architecture development and utilization

· Carry out monitoring, tuning, and database performance analysis

· Perform the design and extension of data marts, metadata, and data models

· Ensure all data warehouse source codes are maintained in a version control system

· Perform data analysis for data sets that will be ingested

· Plan testing strategies on the logic applied to transform the data within the solution

· Extract, transform, stage and load data to multiple targets including Databases, Data Lakes, and Data Warehouses using any of the ff: Talend, AWS Lambda, Kinesis, EMR, Data Pipeline, etc

 

Qualifications:

· Bachelor’s degree in an analytical related field, including Information Technology, Science, and Engineering discipline

· 4-6 plus years of experience performing data warehouse architecture development and management

· Exceptional experience developing codes, testing for quality assurance, administering RDBMS, and monitoring of database

· High proficiency in dimensional modeling techniques and their applications

· Strong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnel

· Background in ETL, reporting and analytical tools such as Talend, Power BI, Tableau, TIBCO, and others

· Working knowledge of Python, and R used in data processing and modeling tasks is an advantage

· Expert-level skills in writing and optimizing SQL

· Knowledge/Experience in cloud computing platforms such as AWS or Microsoft Azure

· Knowledge/Experience in Hadoop, Impala, Pig, Hive, YARN, and other “big data” technologies an advantage