9,843 big data engineer jobs in India.

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Minimum 5 Year(s) Of Experience ...

Role: Tech Support Engineer Department: Operation Location: Bengaluru, India Experience: 3–8 Years Reporting To: Service Manager - Battery Your Team: We are looking for a Technical Support Engineer with strong expertise in electric vehicles, particularly in battery systems and vehicle diagnostics. The role involves providing ...

... floor-planning and timing closure. Work with Design Verification team to ensure quality for architecture definition and design implementation. MS or BS in Electrical Engineering/Computer Engineering/ Computer Science with 10+ years working experience in ASIC design industry. Knowledge in computer architecture and interconnects. Experience ...

... Enterprise Applications with high performance for Responsive Web Applications. Minimum 5 years of coding experience in NodeJS, JavaScript & TypeScript and NoSQL Databases. Developing and implementing highly responsive user interface components using React concepts. (Knowledge of Data Structures for TypeScript. Monitoring and ...

... an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Software Development Engineer to join our team. This is a Hybrid role based in Bangalore, reporting to the Senior Manager, ZIA Core Engineering. You will make ZIA software run in public ...

Role Overview : The Senior Identity Engineer is responsible for the design, implementation, automation, and operational excellence of enterprise Identity and Access Management (IAM) capabilities. This role partners closely with Info Security, IT, Engineering, and Business stakeholders to deliver secure, scalable, and automated ...

... Services. Ability to optimize and tune queries and data processing for performance improvements. Familiarity with integration of analysis services with other data platforms and business intelligence tools. Competence in troubleshooting and resolving issues related to data analysis and reporting. The candidate should have ...

... of innovation, bridging the gap between experimental AI research and production-grade enterprise applications. Working closely with cross-functional teams of data scientists, domain experts, and business stakeholders, you will translate ambiguous requirements into robust, scalable AI architectures that significantly enhance ...

We are looking for an experienced Test Engineer with hands-on experience in the semiconductor domain and ATE (Automated Test Equipment) . The ideal candidate should have experience in ATE test program development, silicon validation, device characterization, hardware debugging, and wafer/final testing. Experience with Teradyne, ...

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Java ...

... problems.- Collaborate with cross-functional teams (Product, Engineering, Business) to understand business needs, define project scopes, and translate them into data science problems.- Develop, test, and productionize models using Python, SQL, and PySpark on large-scale datasets.- Apply deep learning and advanced statistical ...

... of data engineers, data scientists, and ML engineers from scratch.- Unified Roadmap : Define and execute a multi-year technical vision that bridges scalable data infrastructure with advanced AI capabilities.- Cross-Functional Impact : Partner with Vehicle Engineering, Software, Manufacturing, and Sales to identify high-impact ...

... data validation and acceptance testing for new and updated data products, ensuring delivered assets meet the requirements defined. - Support investigation of data quality issues reported by consumers, working with Data Engineers to diagnose and resolve them. - Drive adoption of certified data products and datasets across ...

... challenges into scalable analytical https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :Leadership & Strategy :- Lead, mentor, and grow a high-performing data science team.- Define and execute the data science roadmap aligned with business goals.- Collaborate cross-functionally with Product, Engineering, and Business ...

... challenges into scalable analytical https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :Leadership & Strategy :- Lead, mentor, and grow a high-performing data science team.- Define and execute the data science roadmap aligned with business goals.- Collaborate cross-functionally with Product, Engineering, and Business ...

... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...

... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...

... and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering to ...

... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...

... evaluation, and deployment. Explore and implement LLM and agentic AI applications to drive innovation in customer experience and workforce productivity. Partner with data engineering teams to build robust data pipelines and ensure model reliability in production. Mentor and guide junior data scientists/analysts, providing code ...