Posted:13 hours ago|
Platform:
On-site
Full Time
o Proficient in Power BI Desktop, Power BI Service, and Power BI Mobile.
o Advanced knowledge of DAX (Data Analysis Expressions) and Power Query (M Language).
o Expertise in creating custom visuals, slicers, and drill-through reports.
o Knowledge of ETL tools and processes.
o Familiarity with data warehousing concepts and cloud platforms like Azure Data Factory or AWS.
o Ability to work with APIs and other third-party tools for data integration.
o Hands-on experience with relational databases (e.g., SQL Server, MySQL, Oracle, PostgreSQL).
o Proficient in writing complex SQL queries, stored procedures, and database scripts.
o Strong understanding of data modeling concepts (e.g., star schema, snowflake schema).
o Experience with indexing, query tuning, and database optimization techniques.
o ETL and Data Integration:
o Experience with ETL tools (e.g., SSIS, Azure Data Factory, Informatics).
o Knowledge of cloud platforms like Azure, AWS, or GCP for data storage and processing.
o Ability to work with APIs, JSON, and flat files for data extraction.
o Other Tools & Technologies:
o Knowledge of Azure Synapse Analytics, Data bricks, or other big data platforms.
o Familiarity with Python or R for data analysis (optional but preferred).
o Advanced Excel skills, including VBA (preferred).
In a related field
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