Technical Skills & Expertise:

Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g., Java and Python)
Hands-on experience with SQL database design
PL/SQL Server development experience
NoSQL databases experience
Dimensional modeling experience
Experience especially on (Azure Data Bricks, ADF, ADLS, BLOB, Private endpoint connections)
Experience in building backend data lakes and Azure Synapse, Azure Presto
OLAP, SSAS and MDX experience
ETL tools experience, such as SSIS
Modeling tools experience, such as Toad Data Modeler, Erwin, and Embarcadero
Good to have experience on Intelligent Automation tools like UiPath, Abby, HDFS, Spark, HBase, Hive, Sqoop

Data Analysis & Management Responsibilities:

Great numerical and analytical skills
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Determines data storage needs
Uses different data warehousing concepts to build a data warehouse for internal departments of the organization
Creates and enhances data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data
Leads the design of the logical data model and implements the physical database structure and constructs and implements operational data stores and data marts
Designs, develops, and automates data extraction using any of the extraction methodologies that make use of RPA (Power Automate, Selenium, UiPath)
Support complex applications to transform and load data
Ensures data quality
Develops logical and physical data flow models for ETL applications
Translates data access, transformation, and movement requirements into functional requirements and mapping designs

Power Bi & Data Engineering