Offer summary

Qualifications:

A proven track record in RDBMS design and development, Proficiency in Python scripting, with knowledge of R, Experience with Big Data technologies like Hadoop, Hive, Spark, Kafka, Familiarity with Dataiku, Databricks, Azure Databricks, and Azure Data Factory, ETL and Kimball Dimensional database design expertise.

Key responsabilities:

Collaborate with Data Scientists on model building processes

Build data ingestion pipelines for structured and unstructured data

Interpret business requirements to create practical solutions

Identify and address risks impacting application delivery

Contribute to a strong team culture embracing agile practices

Job description

A proven track record of working with RBMS in the role of data designer and developer. Highly experienced in Databases, DataMarts and Warehousing
Excellent in Python scripting with added advantage for R
Hands-on experience with Big Data technologies like Hadoop, Hive, Spark & Kafka
Experience of working with Data Scientists and has exposure to process of model building.
Exposure to Dataiku where you used Data Science Studio to help automate data models or data integrations
Experience with Databricks, preferably Azure Databricks
Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
Good experience as an ETL and Kimball Dimensional database designer and developer on large multi-million row data warehouse applications
Exposure to BI technologies such as Business Objects, Microstrategy and Tableau would be added advantage
The ability to interpret a set of business requirements, and turn them into simple, sensible solutions
The experience to identify and address risks and issues impacting application delivery. Pro-actively take steps to mitigate or address these
Know-how of agile development practices (Scrum, XP, Pair Programming etc.). Contribute to a strong team culture, underpinned by a passion for effectively.