About the Role

The Data Integration is responsible for supporting the data integration senior in analyzing, designing, building and testing activities for the required ELT (Extract, Load and Transform) and ETL (Extract, Transform and Load) to achieve the integrated view in the enterprise data warehouse and big data ecosystem for the required information to support decision-making process.

Responsibilities:

•Design and develop the ELT (Extract, Load and Transform) and ETL (Extract, Transform and Load) Process to fulfill the customer requirements using the identified ETL Guidelines and Standards

•Support the design and implementation of the physical data model for (STG/ODS/DWH/DM) to assist in performance assessment and improvement of daily processes

•Support and complete the quality checks and testing for the ETL process to support the Information architecture team in data sources selection and quality assessment

•Understand the design and data mapping details derived from Information architecture team to ensure the compliance of data requirements with the internal and external audit checks

•Assist in the consolidation and cleanup activity to ensure that the available data is always updated and up to the data quality standards

•Design and implement data ingestion techniques for real time and batch processes for a variety of sources into big data ecosystems and big data clusters

•Develop ELT (Extract, Load and Transform) and ETL (Extract, Transform and Load) solutions focused on moving data from highly diverse data landscape into Enterprise Data warehouse or centralized data lake (big data) based on the use case

•Develop solutions to acquire semi/unstructured data sources into centralized data lake (big data)

•Support information architecture team in identifying data abnormalities and special cases to be handled in the design for Enterprise data warehouse and big data ecosystems

What We Need From You

Skills:

•Ability to communicate, present and influence all levels of the organization

•Excellent verbal and written communications skills

•Proficiency in agile methodologies

•Knowledgeable in order management systems within the telecom industry

•Knowledge of support processes specific to the telecom industry

•Advanced Microsoft Office toolkit (Excel, pptx)

•Competency in SQL, Big Data, Python, Data Analysis, ETL

•Strong digital and analytical skillset

•Customer journey design experience

•Good negotiation, interpersonal and customer care skills

•Strong problem-solving skills and ability to identify and frame key issues

•Excellent interpersonal organizational and project management skills

•Great people management skills and knowledge

•High reliability in executing tasks within expected timeframe and to expected quality standards

Bachelor’s Degree required; Computer Science.