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The role of a Senior Data Infrastructure Specialist at Ikano Retail involves driving the development of new and innovative capabilities, cutting-edge solutions, and robust data infrastructure for optimal extraction, transformation, loading (ETL) and serving of data from a wide range of sources. The ideal candidate will have 8-10 years' experience in designing, building, managing, and maintaining large-scale data solutions across diverse industries.
Job Responsibilities- Act as technical lead, driving the development of new/innovative capabilities and cutting-edge solutions.
- Enhance, build, and maintain robust data infrastructure for optimal extraction, transformation, loading (ETL) and serving of data.
- Prepare for the adoption and integration of AI technologies, leveraging data for advanced analytics, machine learning, and automation to unlock valuable insights.
The successful candidate will be responsible for monitoring, supporting, and continuously enhancing production pipelines to ensure data availability and data accuracy targets are consistently met. They will also define, design, and optimize data modeling strategy within the data lake, establishing design standards, best practices, and development methodologies to ensure data models align with user needs and business goals.
Requirements- Expert-level proficiency in SQL, data modeling concepts, analytics, and implementation methods.
- In-depth knowledge of cloud computing platforms, particularly Azure, and key data components including Azure Data Factory, Databricks, and PySpark.
- Exceptional skills in documenting data pipelines, data models, and processes in a clear, structured, and comprehensible manner.
- Curious, meticulous, flexible, with a positive attitude, and equipped with strong problem-solving and communication skills.