Social network you want to login/join with:

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.Years of experience needed:

5 years of experience as a Data Analyst & ETL Developer in Microsoft Business Intelligence tools.Technical Skills:Must have at least 5 years of experience as Data Analyst & ETL Developer in Microsoft Business Intelligence tools like SQL Management Studio, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Power BI, and AWS Redshift.Expertise in creating visualizations and reports using Power BI.Expertise in creating multiple kinds of Power BI Reports and Dashboards.Experience in writing T-SQL Stored Procedures, Functions, Constraints, and Indexes using various DDL and DML commands.Experience in writing complex SQL Queries using Joins, Sub Queries, Correlated Sub Queries, and others.Involved in the transformation of OLTP data to the Data Warehouse using SSIS.Good experience in Designing and Developing SQL Server Integration Services Packages with different Control Flow Tasks and Data Flow Transformations.Implementing logging, checkpoint configuration, package configurations, and performance tuning at various levels.Worked extensively on the ETL Process using SSIS Packages.Scheduled Jobs in Flows and ADF Pipelines.Created Tabular, Matrix, Sub reports, Charts, Drill-down, and Drill-through reports in SSRS.Designing reports and publishing the reports to the Power BI web.Teamwork skills as well as the ability to accomplish tasks under minimal direction and supervision.Self-confident team player with a fast learning curve along with strong analytical, problem-solving, knowledge transfer, communication & interpersonal skills.Experienced in all project phases using Waterfall and Agile Methodologies.Other Technical Skills:Reporting Tools: SQL Server Reporting Services, Power BI, Tableau.Programming Languages: C, C++, Core Java, T-SQL, PL/SQL.

#J-18808-Ljbffr