Top Tableau Developer Jobs in Bengaluru

The Senior Tableau Developer will focus on implementing ETL processes for Data Warehouse and Business Intelligence solutions. Responsibilities include RDBMS design and performance tuning, utilizing tools such as Tableau, AWS Redshift, MS SQL Server, and SSIS packages, as well as optimizing ETL logs and SSIS code for efficiency.

The Tableau Developer will be responsible for creating reports and analytics from data sources including data warehouse and Salesforce. The role involves QA of data, communication with clients on data needs, and configuration of mapping tools. The individual will lead trainings, identify data trends, and handle incoming partner data requests.

The Senior Tableau Developer will build, update, and maintain dashboards, implement best practices, conduct data quality checks, and perform complex data analyses. They will analyze data ecosystems and provide recommendations for business solutions, ensuring effective frameworks for projects.

As a Sr. Systems Engineer, you will develop and manage enterprise BI platforms, collaborating with various stakeholders to implement technical solutions. Responsibilities include overseeing the development lifecycle, managing access controls, providing end-user support, and training, while ensuring system health and performance. Strong problem-solving skills and experience with BI tools such as Tableau and Power BI are essential.

The BI Lead Developer will design, develop, and maintain business intelligence solutions using Tableau and Power BI, working closely with stakeholders to gather requirements, develop data models and ETL processes, and optimize solutions. This role also involves mentoring junior developers and ensuring data security and compliance.

The Senior BI Engineer is responsible for developing and maintaining business intelligence solutions using Tableau and Qlik, creating data visualizations and dashboards, writing complex SQL queries, and collaborating with stakeholders to ensure data accuracy and operational efficiency.

The Assistant Manager in Data Engineering will analyze data using tools like KNIME and Python, manage databases with SQL, develop low-code solutions in OutSystems and Power Platform, and lead software projects. Responsibilities include creating data visualizations with Power BI, collaborating with teams, and handling ad-hoc projects, focusing on data integrity and process standardization.

The Data Analytics Engineer will focus on gathering and analyzing data to improve business processes and decision-making. They will work with data visualization tools and databases to develop meaningful reports and insights, collaborating with various departments to understand their data needs and requirements.