Description

You will build and manage data systems, pipelines, and backend datalakes within the Azure ecosystem.

Responsibilities

• Build and automate data extraction processes using RPA methodologies and ETL tools.
• Design logical data models and implement physical database structures, data marts, and operational data stores.
• Develop and automate data pipelines to transform, load, and move data from various sources to targets.
• Analyze raw data to identify trends and prepare datasets for predictive and prescriptive modeling.
• Manage data quality, storage needs, and the migration of manual reports to digital formats.

Required Skills

• 3+ years of experience in data-specific roles.
• Proficiency in Python and Java.
• Hands-on experience with Microsoft Azure, specifically Azure Databricks, ADF, ADLS, Blob, and Private endpoint connections.
• Experience building backend datalakes using Azure Synapse and Azure Presto.
• Strong SQL skills, including SQL Server and PL/SQL development.
• Expertise in Dimensional Modeling and ETL development using tools like SSIS.
• Experience with NoSQL databases and data warehousing concepts.
• Knowledge of OLAAP, SSAS, and MDX.
• Competency in modeling tools such as Toad Data Modeler, Erwin, or Embarcadero.
• Ability to perform source-to-target mapping and complex data analysis.

Preferred Skills

• Experience with Intelligent Automation tools including UiPath, Abbyy, Selenium, or Power Automate.
• Familiarity with Spark, Hive, HBase, Sqoop, or HDFS.

Key Skills

Education

ANY GRADUATE