Jr Power BI Data Integration & ETL (SSIS) Developer

Overview

On Site
$60,000 - $80,000
Full Time

Skills

Power BI
ETL
SSIS/SSRS
Data Visualization & Analytics
DAX
SQL Server
T-SQL
SSAS
SDLC
Azure & AWS
Linux

Job Details

Key Skill Areas for a Power BI, SSIS, SSRS Developer:
  • Data Integration & ETL (SSIS):
    • Designing, developing, and maintaining using SQL Server Integration Services (SSIS) to extract, transform, and load data from various sources into data warehouses.
    • Experience with transformations, error handling, logging, and package configurations.
    • Data migration techniques using tools like DTS Import and Export Data and BCP.
  • Reporting (SSRS):
    • Creating various report types, including standard, ad-hoc, parameterized, drill-down, and drill-through reports using .
    • Experience with Matrix reports, charts, and graphs in SSRS.
    • Managing and scheduling reports, including email subscriptions.
  • Data Visualization & Analytics (Power BI):
    • Connecting to multiple data sources, transforming data using , and modeling data.
    • Creating compelling visualizations and dashboards in Power BI Desktop and publishing them to the Power BI service.
    • Familiarity with DAX (Data Analysis eXpression) for advanced calculations within Power BI models.
    • Understanding of data science, business intelligence, and data analytics principles.
  • SQL Server & Database Skills:
    • Strong proficiency in and , including writing complex queries, stored procedures, functions, and views.
    • Knowledge of concepts, including , data modeling, and building cubes with (a plus).
    • Experience with performance tuning and query optimization.
  • Other Essential Skills:
    • Analytical and Problem-Solving Skills: Crucial for troubleshooting issues and finding efficient solutions.
    • Communication Skills: Effectively interacting with business analysts and stakeholders to gather and analyze requirements.
    • Software Development Life Cycle (SDLC): Understanding of methodologies like Agile, Waterfall, and V-model.
    • Cloud Technologies: Experience with cloud platforms like Azure or AWS is often beneficial as many companies utilize cloud services.
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