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Your tasks
- Designing and implementing data pipelines from multiple sources using Azure Databricks or Hadoop ecosystem.
- Developing scalable and re-usable frameworks for ingesting of data sets.
- Integrating end to end data pipeline - to take data from source systems to target data repositories ensuring quality and consistency of data is maintained at all times.
- Working with event based / streaming / scheduling technologies to ingest and process data.
- Write python script to process data according to the needs from other engineers.
- Build dashboard using Power BI or Tableau to fulfill the need from end users.
- Evaluating the performance and applicability of multiple tools for the automated data pipeline.
- Involve in application development using low-code platforms such as PowerApps and OutSystems.
- Involve in AI solution development in the organization focus on building python script for data processing.
Your profile
- Undergraduate student majoring in Computer Science, Data Science, Information Technology or any equivalent field with strong foundation in data structure and algorithms.
- Basic experience in designing, developing, deploying and/or supporting data pipelines using Databricks, Azure, OpenShift, Virtual Machine.
- Basic experience in building dashboard using Power BI, Tableau.
- Proficient in programming languages like PySpark and Python.
- Good understanding of SQL and API.
- Good at computational problem solving.
- Knowledge and experience with knowledge graph is a plus.
- Ability to work independently, proactive, detail-oriented with willingness to learn and apply new technologies.