Showing 7,802 Big Data Engineer Jobs in Central Remote
Joining: Immediate to 15 days Key Skills: Strong hands-on experience in PySpark Expertise in Big Data technologies Solid understanding of SQL, Data Pipelines, a
Big Data Engineer
TekWissenDevelop high quality, secure and scalable data pipelines using spark, Java/ Scala on Hadoop or object storage Follow MasterCard Quality Assurance and Quality Control processes Leverage new technologies and approaches to innovating with increasingly large data sets Work with project team to meet sche
Big Data - Spark
TekWissen1. The developer must have sound knowledge in Apache Spark and Python programming. 2. Hands-on experience in RDBMS. 3. Working with data extraction using sqoop and Ni-Fi for database batch extracts or Kafka for real time extracts. 4. Strong skills in SQL for data transformation. 5. Hands on experien
Big Data Engineer
TekWissenWe are looking for a skilled Big Data Engineer to join our team at GIG Consultants. The ideal candidate will have experience in designing and implementing large-scale data systems, with a strong background in big data technologies. Roles and Responsibility Design and develop scalable big data archit
Frequently asked questions
Which companies have big data engineer job vacancies?
Several companies are actively hiring for big data engineer roles, including Accenture, TekWissen, Tata Consultancy Services, KP GROUP, and Infosys. Exploring these employers is a good starting point for your big data engineer job search.
What is the salary range for big data engineer jobs?
The salary range for 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 6584 big data engineer openings available.
What are the top industries hiring for big data engineer jobs?
Big data engineer roles span a range of industries. The sectors with the most openings include IT Services & Consulting, Logistics, Software Product, Financial Services, and Analytics & KPO, reflecting steady demand for big data engineer professionals.