Description

Build and manage data systems, pipelines, and backend datalakes within the Azure ecosystem.

You will own the full data lifecycle, from extraction and modeling to transformation and storage. This role requires strong engineering skills in Python, Java, and SQL to automate processes and ensure data quality.

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 OLAP, SSAS, and MDX.
• Competency in modeling tools such as Toad Data Modeler, Erwin, or Embarcadero.

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