Showing 6,118 Senior Big Data Engineer Jobs in Hyderabad Secunderabad Telangana

Azure Databricks
TekWissenJob Details: Employment Type: Permanent Payroll of the hiring organization Client: A Leading IT Services Company Experience Required: 5 to 16 Years Location: PAN India (Hybrid) Notice Period: 0-30 days Key Responsibilities Design, develop and optimize ETL/ELT pipelines using Databricks PySpark to in

Azure Databricks Sr. Engineer
TekWissenLead end-to-end design, development, and optimisation of data pipelines on Azure Databricks Manage large-scale ETL/ELT workflows using Delta Lake, PySpark, and Azure Data Factory Implement scalable data models and ensure high-performance processing for analytics use-cases Drive Azure cloud architect
Dear Candidates , Hiring for Azure Data engineer Location: Pune Mode of work :Hybrid JD: Description: " Bachelor s or higher degree in Computer Science, Engineering, or related field. 8 10+ years of experience in data engineering or related roles. Strong experience in designing and building scalable
3 - 6 years experience in one of the deep technical specializations below: Analytics: SQL DW , Azure Data Factory & Azure Databricks. Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory with development expertise in batch and Realtime data
Role Descriptions: Manage Databricks workspaces DEV| QA and PROD environmentsConfigure and manage clusters| cluster policies instance poolsMonitor performance usage and cost optimization and FinOps activitiesHandle workspace level configuration and governanceTroubleshoot platform level issuesImpleme
We are looking for an experienced Azure Data Engineer to design, develop, and optimize scalable data solutions on Microsoft Azure The ideal candidate should have strong expertise in data pipelines, data warehousing, and cloud-based data engineering tools Key Responsibilities: Design and build scalab
Job Summary: We are seeking a skilled Azure Data Engineer with strong hands-on experience in Databricks to design, develop, and optimize scalable data solutions within the Microsoft Azure ecosystem. The ideal candidate should have expertise in ETL/ELT pipeline development, Lakehouse architecture, an
ECMS ID/ Title Number of Openings 2 Duration of contract 6 No of years experience Relevant 5+ Years and Total 8+ years . Detailed job description - Skill Set: Attached Mandatory Skills* Azure Data Lake, Azure Data Factory and a virtualization tool like Dremio Good to Have Skills Azure Data Lake, Azu
Full-time "},"comp-m9fqn7yf5":{"html":" We are seeking an experienced and motivated Azure Data Engineer to join our team. As a mid-level professional, you will play a critical role in designing, building, and optimizing our data solutions using Microsoft Azures advanced tools and services. In this r
Roles and Responsibility Design and implement scalable data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Azure Storage solutions. Develop and maintain large-scale data architectures using Azure Synapse Analytics, Azure Cosmos DB, and other c
Frequently asked questions
Which companies have senior big data engineer job vacancies?
Several companies are actively hiring for senior big data engineer roles, including Accenture, Tata Consultancy Services, Infosys, Capgemini, and Cognizant. Exploring these employers is a good starting point for your senior big data engineer job search.
What is the salary range for senior big data engineer jobs?
The salary range for senior big data engineer jobs is subject to variation based on factors such as the candidate's experience, qualifications, and the specific employer's policies. However, within the ₹350,000+ range, there are 5725 senior big data engineer openings available.
What are the top industries hiring for senior big data engineer jobs?
Senior big data engineer roles span a range of industries. The sectors with the most openings include IT Services & Consulting, Software Product, Financial Services, Industrial Machinery, and Hardware & Networking, reflecting steady demand for senior big data engineer professionals.


