1,332 manager data visualization jobs in Bengaluru, India.

... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...

... https://jobeax.com/link/8om4ubga9gvjbUNE Contact: View phone number on https://jobeax.com/link/8om4ubga9gvjbUNE #Hiring #DataEngineer #SeniorDataEngineer #AzureDatabricks #Databricks #PySpark #PythonDeveloper #AzureCloud #DataEngineering #BigData #ADF #ADLS #SQL #BangaloreJobs #TechHiring #AndorTech #HiringNow #DataPlatform ...

... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...

Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...

... details related to data engineering or a relevant https://jobeax.com/link/cwwOL3BLJkve6nkU Skills :- Azure Databricks, Python, pyspark, sql, ADF- Proficiency in data pipeline design and implementation- Strong understanding of data factory and orchestration toolsPreferred Skills:- Familiarity with advanced data processing techniques- ...

... magic! Model Development: Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: ...

Role OverviewWe are seeking a high-caliber Data Migration Consultant Developer with proven expertise in Guidewire Data Migration methodology and tools . The ideal candidate must hold a Mammoth Certification (Data Migration Track) and bring extensive, hands-on experience in migrating client data from legacy Policy systems ...

... BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration) ...

... software applications using SQL, Python and .NET - Working knowledge of Azure infrastructure management and resource deployment, system networking and security and data visualization tools like PowerBI, Grafana, and Tableau - Preferred qualifications are a Master's or PhD degree in Computer Science or related Engineering areas ...

... environments (preferably AWS). Document architecture, data flow, and support runbooks; continuously improve platform performance and resilience. Integrate with customer data platforms and pipelines, including bespoke data frameworks. 4–8 years of experience in data engineering or backend development in data-intensive environments. ...

... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...

... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...

... of our transformation, we know that data is at the center of everything that we do. We seek a dedicated professional to help take us to the next level of our Data & Analytics journey. We depend on our Data Analysts to investigate data seeking opportunities to reduce duplicates, improve the quality and discover anomalies ...

... Python. Develop and optimize large-scale data transformations using PySpark. Ensure data quality, reliability, and performance of data pipelines. GCP BigQuery Data Ingestion & ETL/ELT Data Pipeline Orchestration Python PySpark Strong SQL and data engineering fundamentals hands-on experience in GCP-based data platforms.

... the data foundation across Landauer's growing portfolio of products. You will set the standards for how data is modeled, moved, and governed — owning the full data lifecycle from ingestion through analytics and AI feature delivery. You will serve as a key technical voice alongside backend engineers, product managers, and ...

... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...

... and processing - Experience with big data and real-time processing technologies, including Apache Spark, Hadoop, Kafka, and Amazon Kinesis - Experience with data modelling and database design across Structured Query Language and NoSQL platforms - Understanding of data governance, data quality, and security best practices ...

As a Data Engineering Manager, you will lead a team of data engineers, front end engineers and business intelligence engineers. You will own our internal data products (Yoda), transform to AI, build agents and scale them for IN and emerging stores. You will provide technical leadership, drive application and data engineering ...

Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference. Build, train, and fine-tune complex neural networks across text, audio, and visual modalities. Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed ...

... (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements. Strong proficiency in data science and analytics tools: Python, R, SQL, Spark, and cloud data platforms (AWS, Azure, GCP). Experience with data visualization and reporting tools (e.g., ...