Data Platform Engineer

Responsibilities:
General support and project work.
Problem solving and analytics with the ability to research information and deduct solutions based on wide array of information they are sourcing.
An enterprise level understanding of how systems interconnect as it applies to BI and data analytics in an Azure Environment.
Prior development experience with ability to integrate with Data Engineering & Azure Cloud Engineering.
Automate the migrations of Data Engineering workflows/processes.
Experience in designing pipelines in Azure DevOps and hands on PowerShell.
An understanding of Clusters, libraries, job clusters, and how Databricks is leveraged in ETL/ELT.
Understanding of python and how it is used for data transformation and integration with other systems.
Understanding of Azure Databricks at the level of managing and configuring the product/workspace, and working knowledge of PySpark code
Previous experience with Azure Data Factory, and understanding of concepts including linked services, triggers, jobs, monitor, etc.
Understanding of CICD DevOps and integrating ADF
Understanding of how to configure the 60 plus inputs and outputs of ADF.
Demonstrable experience as a DataStage developer.
Proficiency in SQL or another relevant coding language.
Knowledge of data modeling, database design, and the data warehousing ecosystem.
Skilled at the ideation, design, and deployment of DataStage solutions.
Excellent analytical and problem-solving skills.
The ability to work within a multidisciplinary team.