Top SQL Developer Jobs in Bengaluru, KA
As a Data Engineer at H1, you will collaborate with a multidisciplinary team to analyze and interpret medical data, develop algorithms for data processing, work on integrating applications with healthcare IT systems, and stay updated with the latest technology and healthcare sector developments to improve data analysis.
Design and manage data pipelines, observability platforms, and cloud data solutions to enhance system reliability, performance, and scalability. Collaborate with multiple teams to ensure data support for Tools Building, monitoring, AI/ML processes.
Designing and building data models, developing data ingestion systems, implementing data storage solutions, ensuring data consistency, collaborating with cross-functional teams, and possessing proficiency in Python, big data, and Databricks.
The Sr BI Engineer is responsible for developing visual analytics solutions to enable faster decision-making. They work closely with data engineers and business analysts to deliver strategic analytics projects and maintain data standards. The role requires expertise in Tableau, Power BI, SQL, PL/SQL, and QuickSight, with a focus on visual design principles and end-to-end testing of dashboards.
Develop high performance and scalable solutions that extract, transform, and load big data. Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Provide guidance and mentorship to junior data engineers and ensure data quality and governance standards are met.
The Data Architect will work closely with teams to design and implement data architecture for identity systems. Responsibilities include driving technical direction, introducing new technologies, and monitoring industry advancements to advance technical opportunities.
The Big Data Engineers at this company work on building horizontally scalable applications using distributed technologies like NoSQL, Hadoop, and Spark. They are responsible for evaluating, developing, maintaining, and testing big data solutions for advanced analytics projects, as well as pre-processing and reporting workflows. The role also involves testing machine learning models on Big Data and deploying them for ongoing scoring and prediction.
The Principal Data Engineer will lead the development and deployment of advanced data science models and algorithms, provide leadership and mentorship to a team, collaborate with stakeholders, stay current with data science advancements, analyze data, and manage data science projects.
The Power BI Developer at Veralto is responsible for building efficient and performant reports in Power BI to meet business requirements. They work with the BI team to understand data sources, design reports, facilitate user testing, and troubleshoot issues. Additionally, they manage the Power BI environment.
Design, build, and manage data pipelines using Apache Spark and Scala. Utilize Google Cloud Platform for large-scale data processing systems. Analyze complex data sets and implement internal process improvements. Provide technical leadership and coaching to junior team members.
Build and manage data pipelines, data lake, and Big data processing solutions using various technologies. Develop analytical tools, data models, and processes supporting data transformation. Research and prototype new tools/technologies.
The Big Data Architect will be responsible for designing, implementing, and managing the organization's big data infrastructure. This role requires a deep understanding of data architecture, data modeling, and data integration techniques.
Join Thrasio as a Senior Data Analytics Engineer to solve complex business problems by leveraging data, building scalable processes, and compelling visualization. Partner with stakeholders, develop scalable data solutions, and drive efficiency in processes.
The Senior Analytics Engineer at Remote will be responsible for designing, developing, and maintaining dbt models for data transformation and analysis. They will work collaboratively on challenging data problems and make an impact with their work, using modern data tooling such as SQL, Python, and various data platforms.
Data Engineer role in Real Estate operations team focusing on data & management information to drive strategic business decisions. Responsible for data modeling, visualization, and reporting for RE professionals using Power BI and ADF. Collaborate with stakeholders, lead process improvements, and maintain complex data models.
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