Sr SSRS PBI Developer (need 60% in ssrs and 30% PBI)

Overview

On Site
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

Sr SSRS PBI Developer (need 60% in ssrs and 30% PBI)

Job Details

Role: Sr SSRS PBI Developer (need 60% in ssrs and 30% PBI)

Location: Los Angeles, CA (Onsite Locals)

 

Note: Only PST time zone candidate apply for this role, for other time zone profile will not fly

 

Visa: ALL except (h1b, opt and cpt)

 

 

 

 

Job Description:

The desired profile should have hands-on experience in designing, establishing, and maintaining data management and storing systems. Skilled in collecting, processing, cleaning, and deploying large datasets, understanding ER data models, and integrating with multiple data sources. Efficient in analyzing, communicating, and proposing different ways of building Data Warehouses, Data Lakes, End-to-End Pipelines, and Big Data solutions to clients, either in batch or streaming strategies.

 

Technical Proficiencies:

 

SQL:

 

Data Definition Language, Data Manipulation Language, Intermediate/advanced queries for analytical purpose, Subqueries, CTEs, Data types, Joins with business rules applied, Grouping and Aggregates for business metrics, Indexing and optimizing queries for efficient ETL process, Stored Procedures for transforming and preparing data, SSMS, DBeaver

 

Power BI:

 

  • Design and develop ETL processes using SQL Server Integration Services (SSIS) to extract, transform, and load data from various source systems into target databases.

 

  • Create, configure, and deploy SSIS packages, including data flow tasks, control flow tasks, and event handlers.

 

  • Perform data source integration from diverse platforms, such as relational databases, flat files, web services, and cloud-based storage

 

  • Strong knowledge in Power BI

 

  • Optimize data integration processes for performance, identifying and resolving bottlenecks, and utilizing best practices.

 

  • Provide expertise in troubleshooting and resolving data integration issues, ensuring data accuracy and consistency.