Top Tableau Developer Jobs in Bengaluru, KA
Seeking a Senior Tech Lead for BI Applications to design, develop, and manage BI solutions, lead a team of engineers, and ensure scalability and reliability of data systems. Key responsibilities include managing BI tools, automating BI processes, ensuring data security, and standardizing management practices.
Responsible for leading the design, development, and maintenance of Looker environment to drive data-driven decision making. Collaborate with data analysts, engineers, and stakeholders to translate business needs into actionable insights through Looker dashboards, models, reports, and visualizations.
Responsible for designing, developing, and implementing data integration and outbound interfaces for the Enterprise Data Platform. Lead performance tuning and optimization activities for data systems, enforce data governance practices, and create technical documentation for data projects.
Design, develop, and implement ETL processes using Ab Initio platform. Strong understanding of data warehousing concepts, SQL, and Unix Shell scripting. Work on complex projects with robust data processing capabilities.
Responsible for designing and implementing data delivery pipelines, ETL processes, and infrastructure for financial data warehouse applications. Must have 3-5 years of experience in data manipulation/engineering roles and expertise in Python, SQL, and AWS technologies.
Design and develop data architecture, ETL solutions, perform data analysis, provide technical leadership, collaborate with cross-functional teams, and maintain documentation at Broadridge.
Lead, design, and build data pipelines and systems to store, process, and analyze large datasets. Collaborate with teams to integrate data into business processes. Maintain and optimize data systems and implement new technologies.
Analytics Engineer role responsible for data analysis, implementing analytics and machine learning solutions within the GPS Technology group at Fidelity International. Key responsibilities include data lifecycle management, data modeling, data quality expertise, and implementing machine learning models. Requires 5 years of experience in the field.
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Design and implement scalable data pipelines, utilize Amazon Quicksight for data visualization, ensure data quality and accuracy, collaborate with cross-functional teams, and use analytical skills to translate business requirements into technical solutions.
Design and implement data models, collaborate with stakeholders, ensure data integrity, mentor junior team members, and serve as a subject matter expert on analytics engineering best practices.
Seeking a Business Intelligence Engineer with 3+ years of experience in BI engineering. Must have advanced SQL skills, experience with data visualization tools, and cloud Data Warehouse solutions. Responsible for gathering BI requirements, producing business-relevant datasets, reports, and dashboards, and collaborating effectively with both business and technical teams.
The Power BI Developer will be responsible for maintaining Power BI reports dashboards for Digital Health Solutions Delivery, acquiring data from various sources, designing visually appealing reports, collaborating with IT teams, and providing end-user training on the dashboards.
Design, develop, and deploy ETL pipelines, model data using GCP BigQuery, create/enhance data models using SQL, work with SAP HANA and GCP data structures, analyze performance bottlenecks, apply advanced data modeling techniques.
Design and implement data solutions using various technical stacks and programming languages. Provide thought leadership and recommend technologies and solutions. Develop custom data pipelines and optimize SQL queries. Must have at least 4 years of experience as a Software Engineer, Data Engineer, or Data Analyst.
As an Adobe Analytics Engineer, you will optimize digital experiences and drive data-driven decisions using Adobe Analytics. Collaborate with cross-functional teams to implement and configure analytics for accurate reporting. Provide operational support, troubleshoot issues, analyze processes, and propose improvements. Stay updated on digital trends to keep analytics capabilities cutting-edge.
Participate in large-scale client engagements, analyze business requirements, lead data migration, develop ETL processes, provide post-load analysis and data fixes, ensure compliance with data protection legislation, work in an inclusive environment at NAVISITE - Part of Accenture.
As an Analytics Engineer at MiQ, you will be responsible for designing data models, normalizing data, optimizing data pipelines, and collaborating with the Data Management and Data Science teams to ensure data quality and efficiency. You will also work on developing the business layer of data and supporting the DnA team with data-driven solutions.
Ability to write complex SQL scripts, hands-on experience with SSIS, design and deliver data platforms for Business Intelligence, familiarity with Agile methodology, and good to have Power BI experience.
Lead the design and implementation of scalable data architectures, develop and optimize data pipelines, manage databases, ensure data quality and governance, provide mentorship and leadership, collaborate with stakeholders, and monitor performance for a digital banking platform.
Role: Azure Synapse/SSIS, SQL & Power BI. Responsibilities include data modeling, writing complex SQL scripts, designing and delivering data platforms for Business Intelligence or Data Warehouse, handling and analyzing complex data, collaborating with team leads and subject matter experts, and working in an Agile environment. Must be a full-time bachelor graduate.
Being part of the BW BO Tableau team, supporting multiple applications with a focus on SAP Business Objects, BW HANA, Power BI, and Tableau, deploying and supporting integration of business applications in a global Business Objects environment, ensuring security and availability of systems, and collaborating with engineers and architects for solution implementation.
Enterprise Analytics Data Engineer at Hewlett Packard Enterprise, responsible for developing and maintaining business applications and information systems solutions. Participates in data development teams, performs data analysis, develops data integration codes, and collaborates with business and system teams for solution design and automation. Implements solutions for data engineering and conducts code reviews.
As an Analytics Engineer at Kong, responsible for data engineering and product analytics tasks, optimizing the data ecosystem, collaborating with cross-functional teams, and deriving actionable insights. Key responsibilities include data engineering, product analytics, data quality and governance, collaboration, and utilizing the Kong data ecosystem.
Epsilon is seeking a BI Senior Software Engineer to work with cutting-edge technologies in digital marketing products supporting automotive dealers in the US. Responsibilities include analysis, production support, maintenance of data services systems, end-to-end business intelligence solutions, and support for data warehouses and ETL systems.
Develop custom programming code using SAS or other software to generate tables, data listings, graphs, and derived datasets as specified in the protocol/statistical analysis plan. Ensure outputs meet quality standards, resolve discrepancies, and manage scheduling across multiple projects. Contribute to regulatory submissions, utilize current technologies for analyses, and maintain standard macros and applications for departmental efficiency.
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