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Understand and communicate requirements to the stakeholders; Get involved in Data Lakehouse / Big Data projects; Build ETL pipeline to process structured & unstructured data following best practices; Develop automated reports and dashboards using Power BI; Define and document approach and design (code/testing/migration); Explain scope/approach/design to customer / internal team as needed; Assists team members on tasks as needed; Independently able to do development and bug-fixing
Job Responsibility:
Understand and communicate requirements to the stakeholders
Get involved in Data Lakehouse / Big Data projects
Build ETL pipeline to process structured & unstructured data following best practices
Develop automated reports and dashboards using Power BI
Define and document approach and design (code/testing/migration)
Explain scope/approach/design to customer / internal team as needed
Assists team members on tasks as needed
Independently able to do development and bug-fixing
Requirements:
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Knowledge in Data Modeling (Star Schema, Snowflake)
Experience with object-oriented scripting languages: Python, Java, Scala, etc.
Ability to work in a team / collaborative environment but also work independently with the customer
Willing to learn & hardworking
Smart, good attitude, logical, reasonable, honest & simple
Good communication
Good Academic track record preferred
Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
English speaking
Nice to have:
Knowledge of big data tools: Hadoop, Spark, Kafka, etc.
Knowledge in ETL design, Data Factory, Synapse, Databricks, Microsoft Fabric, Snowflake, etc.
Some experience with visualization tools such as Power BI / Tableau or other BI tools