5,739 Data Engineer Jobs in Bengaluru Bangalore

3–5 yrsMumbai, India

Role & responsibilities : 1. Project Delivery & Benefit Realization - Deliver key projects (e.g., IRMS Phase III, IOEC, Power Planner, Finance Data Lake, Solar Rooftop NOC, Universal Workflow API) on schedule, ensuring alignment with project charters and measurable business outcomes. Execute project

8–12 yrs₹22.2L - ₹27LChennai, India

Experience - 8-12 Yrs Notice period - IMM - Serving Location - Any UST ( preference for Kochi/Trivandrum/Chenani/Bangalore) Primary Skills - MLOps, Kubernets, Python, Gen AI Secondary skills - Team handling/Lead exposure Key Responsibilities Design, implement, and manage scalable MLOps platforms and

2–5 yrsGurgaon / Gurugram, India

Join dunnhumby as a Big Data Engineer. Leverage Python, PySpark, SQL & big data tech like Spark & Airflow to build scalable data pipelines, lakes, and warehouses. Enjoy flexible working and cutting-edge technology with a global leader

4–6 yrsBengaluru / Bangalore, India

Join as a Data Engineer in Bengaluru (4-5 years exp) for an E-commerce/Retail domain. Develop scalable Big Data pipelines using Hadoop, Spark, Hive, and SQL. Drive real-time & batch ETL solutions, ideally with Ab Initio, ensuring data quality in large-scale environments

8–10 yrsBengaluru, India

Join our Data Engineering team to build mission-critical data infrastructure. Develop robust data pipelines, scalable architectures, and governance using SQL, Python, GCP (BigQuery, DataFlow), and ETL. Seeking 8-10 years' experience with strong data modeling and big data expertise. Drive data-driven decisions

3–5 yrsBengaluru, India

Exciting opportunity for a Big Data Engineer in Bangalore with 4+ years experience. Develop scalable, high-performance big data solutions and design ETL processes. Requires strong skills in SQL, Hive, Spark, PySpark, Java, and Unix shell scripting. Join a collaborative team passionate about data quality

Gurugram, India

Join our team as a Big Data Engineer! Develop robust solutions using Core Java, Spring Boot, and cutting-edge Big Data technologies like Spark, Hadoop, and PySpark. Leverage GCP services including BigQuery, Dataflow, and Dataproc to build scalable data pipelines

5–10 yrsNoida, India

Vanya IT is looking for BigData Engineer to join our dynamic team and embark on a rewarding career journey. Develop and maintain big data solutions. Collaborate with data teams and stakeholders. Conduct data analysis and processing. Ensure compliance with big data standards and best practices. Prepa

5–10 yrsPune, India

Vanya IT is looking for BigData Engineer to join our dynamic team and embark on a rewarding career journey. Develop and maintain big data solutions. Collaborate with data teams and stakeholders. Conduct data analysis and processing. Ensure compliance with big data standards and best practices. Prepa

5–10 yrsBengaluru, India

Vanya IT is looking for BigData Engineer to join our dynamic team and embark on a rewarding career journey. Develop and maintain big data solutions. Collaborate with data teams and stakeholders. Conduct data analysis and processing. Ensure compliance with big data standards and best practices. Prepa

Frequently asked questions

Which companies have data engineer job vacancies?

Several companies are actively hiring for data engineer roles, including Accenture, Tata Consultancy Services, Infosys, Cognizant, and Capgemini. Exploring these employers is a good starting point for your data engineer job search.

What is the salary range for data engineer jobs?

The salary range for 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 5553 data engineer openings available.

What are the top industries hiring for data engineer jobs?

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 data engineer professionals.