Top Tableau Developer Jobs in Bengaluru, KA
As a Junior Adobe Analytics Engineer, you'll use Adobe Analytics to optimize digital experiences and drive data-driven decisions. Collaborate with cross-functional teams to implement and configure Adobe 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 business requirements gathering and building end-to-end data visualization using Qlik. Provide data, BI application end-to-end support, and maintenance. Develop and implement ETL using Qlik tools/scripts. Conduct data analysis and optimize data models for performance and efficiency.
Looking for a self-motivated and dynamic individual to own and manage core data assets, create and maintain big data pipelines, and implement new technologies to improve the data ecosystem. Responsibilities include improving data pipelines, debugging issues, and enhancing data health at scale.
Seeking a highly motivated Data Analytics Engineer to build and implement data analytics solutions using leading BI platforms. Responsibilities include working with clients to enable them on BI platforms, designing dashboards, writing efficient code, and staying up to date with industry trends. Qualifications include 5+ years of experience, strong problem-solving skills, and a Bachelor's or Master's degree in Computer Science or related field.
Lead the engineering of data models, work on architecture and design of data models, collaborate with various departments to drive requirements, develop processes across platforms and tools, analyze data, mentor team members, and drive best practices in data analytics and engineering.
Design, implement, and support data analysis and analytics solutions. Hands-on involvement in high-level design, data architecture, ETL pipeline modules, and analysis techniques. Collaborate with cross-functional teams in an Agile environment to build a high-scale data analytics platform.
Collaborate with stakeholders to design, implement, and maintain data pipelines and models using cloud platforms. Ensure data quality, security, and compliance while supporting analytics initiatives. Mentor junior team members in best practices for data architecture and engineering.
Build and design finance analytics engineering strategy, develop data platforms, collaborate with cross-functional teams, and optimize data processes. Requires 10+ years of experience with SQL, Python, data warehouse solutions, cloud services, ETL design, and data visualization tools.
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Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks. Hands-on experience with technologies such as Kafka, Apache Spark, Python, Hadoop Platform, Hive, Presto, Druid, airflow, and more. Operationalize data-analytic tools for enterprise use and ensure data governance policies are followed.
Build and maintain data platform, translate requirements into designs, collaborate with teams to bring AI experiences to life, define data governance policies, and handle project scope with data analytics.
Responsible for expanding data and data pipeline architecture, optimizing data flow, supporting various teams on data initiatives, and ensuring optimal data delivery architecture. Collaborate with stakeholders for data-related technical support and building data tools for analytics.
Role: Azure Synapse/SSIS, SQL & Power BI. Responsibilities include data modeling, writing complex SQL scripts, designing data platforms for BI or DW, handling and analyzing high volume data, and collaborating with team members and subject matter experts. Must be a full-time bachelor graduate.
Seeking a Report Developer & Data Analyst responsible for creating BI reports and dashboards using various tools like Tableau, SAP HANA, SalesForce BI, and Excel. Data mining for decision support and data quality improvement. Requires proficiency in SQL, ETL processes, and project management.
Lead, design and build data pipelines and systems, process large datasets, collaborate with data scientists, maintain data systems, improve data quality, and stay updated with data engineering advancements.
As a Senior Associate Data Analytics, you will lead in developing data solutions across multiple accounts to ensure success. You will be responsible for delivering analytics and optimization solutions and creating end-to-end analytics solutions. The ideal candidate should have 4-6 years of experience in Analytics implementation and a Bachelor's degree.
Design and develop data delivery on Sony Music Publishing's data warehouse on AWS. Responsible for data architecture, data modeling, data ingestion, creating ETL scripts, and working in Agile/Scrum teams. Collaborate with product owners and developers to design and develop ETL processes, automate and optimize processes, problem solve, and communicate with technical and business teams. Knowledge of AWS technologies and experience in data warehousing and big data required.
Seeking a self-motivated and experienced Data & Analytics Engineer to join the Affinidi Elements team. Responsible for developing, prototyping, and implementing data layers for next-generation data and identity products. Will work on designing, architecting, and building quality systems with hands-on coding and integration experience.
Greenlight Financial is seeking a highly skilled and experienced Staff Data Analytics Engineer to design, develop, and maintain data infrastructure, collaborate with cross-functional teams, and ensure robust and scalable data solutions for business needs.
Develop Dimension Modelling data models, implement RDBMS, ODS, data marts, and data lakes. Translate business needs into data models. Require 6-12 years of DW/BI experience with hands-on experience in ETL, BI tools, and data modelling. Good to have SAP and Data Vault knowledge.
Design, develop, and maintain data pipelines and platforms, ensuring data-driven decision making and insights. Collaborate with stakeholders to understand data requirements and deliver solutions. Research new data technologies and trends for continuous improvement.
As a Data Insights & Analytics Specialist at MariaDB, you will analyze data, generate insights, and provide strategic recommendations to enhance business operations. Collaborate with cross-functional teams, develop visualizations, and stay up-to-date with industry trends.
Experience in working on product development projects using Power Apps and Power BI. Ability to architect and design Power BI solutions based on client needs. Knowledge of Databricks, Http connector, and Power-automate & APIs integration.
Design, implement, and manage databases, develop and maintain ETL pipelines, optimize database performance, implement security measures, ensure data quality, automate data infrastructure, monitor data health, collaborate with teams, stay updated on technologies.
Ability to write complex SQL scripts, hands-on experience as SSIS developer, design and deliver data platforms for Business Intelligence or Data Warehouse, strong skills in handling high volume data, work with team leads and other developers, familiar with Agile methodology, Power BI experience is a plus.
Assess client needs, convert business requirements into BI solutions, analyze technical issues, build data structures, manage development cycle, provide technical guidance, drive resolution of technology roadblocks.
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