47 Full-time big data testing jobs in Bengaluru, India.

... reporting and product development teams 3 to 6 years of experience in the field of data engineering - Graduate degree or higher with courses in programming, data analytics - Good programming skill in Python/scala or any scripting language - Good knowledge of SQL is a required - Basic knowledge and understanding of big ...

... open-source big data technologies such as Spark, Flink, and Hive. - Experience with one of the major public cloud platforms, preferably GCP. - Working knowledge in any data transformation libraries like DBT (Data Build Tool), PySpark, or Snowpark. - Experience with data visualization tools (e.g., Tableau, Looker). - Passion for data ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) ...

... production support activities as required. - Work with cross-functional and global teams to coordinate technical deliverables and project dependencies. - Support testing, deployment, release, and post-implementation activities. - Ensure solutions follow appropriate security, compliance, governance, and operational standards ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. https://jobeax.com/link/6WcBICn0LM558SP0 ...

... / ES16+) GenAI (Azure & AWS) - GraphQL & REST API integration - Responsive design & accessibility - Unit testing - Jest, React Testing Library - b. Backend & Database - GenAI (Azure & AWS) - RESTful API design & microservices - NoSQL - MongoDB, DynamoDB, CosmosDB - SQL - PostgreSQL / MySQL - Data modelling & schema design ...

... logic (e.g., dbt), including testing, documentation, and data quality. Terraform) and contribute to CI/CD and deployment practices. Partner with Engineering, and Data Science to deliver low-latency signals and features for real-time decisioning. Solid engineering foundation with 5+ years of relevant experience in data engineering ...

... 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. - ...

... 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 ...

... parallel - Excellent understanding of Java 8+ - Excellent knowledge of OOP and design patterns, including benefits and limitations - Excellent understanding of data structures and algorithms, Big O notation and performance analysis - Excellent knowledge of Spring and Spring Boot - Excellent knowledge of architectural patterns. ...

... mind deployment of code and libraries and ease of scalability & extensibility Participate in all phases of development, from design to implementation, unit testing, and release Work in a highly collaborative environment using open source platforms and tools and third-party services and APIs like GA, Facebook, PayPal, You ...

... Excellent communication skills, with the ability to explain complex architectural concepts to both technical and non-technical stakeholders. Experience working in data-intensive, AI/ML, or big-data platforms. Strong understanding of DevOps, CI/CD, infrastructure as code, and cloud cost optimization. Familiarity with containerization ...

... support teams, and data & development factories), assess and define project scopes, and much more. You’ll specifically take care of designing, building, and testing solutions (core, localization, authorization, batch) while ensuring knowledge transfer to run teams, but also support key users with data mapping, migration, ...

... Pinecone, Weaviate, ChromaDB, FAISS, or HANA Cloud Vector Engine. Cloud AI platforms: SAP BTP (primary), AWS, Azure, or GCP. Kubernetes/Docker, CI/CD for AI systems. Data Engineering: Spark/Databricks, data pipeline design, and big-data ecosystems. HANA Cloud query design and optimization. SAP Ecosystem Knowledge Hands-on experience ...

... including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...

... the Data Pipeline team you will be at the Center of building our platform that enables us to redefine the Commercial Real Estate industry. We are building a data pipeline that merges with the tested design of data warehousing and the latest big data technologies. You will own features and modules end to end — designing ...

... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, Engineering, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, ...

... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, reporting, ...

... application design with resiliency and fault tolerance. - Cloud AI platforms: SAP BTP (primary), AWS, Azure, or GCP. - Kubernetes/Docker, CI/CD for AI systems. Data Engineering: - Spark/Databricks, data pipeline design, and big-data ecosystems. - HANA Cloud query design and optimization. SAP Ecosystem Knowledge - Hands-on ...

... Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement. - Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP). - Excellent communication and stakeholder ...