Showing 6,022 Senior Data Engineer Jobs in Central Remote
Hiring an Azure Data Engineer (5-10 yrs) in Hyderabad. Design, develop, and optimize scalable data pipelines using PySpark, Python, SQL, and Azure Data Services like ADF, Databricks, ADLS, Synapse Analytics. Build robust ETL/ELT solutions and data models for large-scale data warehousing
Join Arcadis as an Azure Data Engineer to drive digital transformation. Build scalable data solutions using Azure Data Platform, Microsoft Fabric, SQL, PySpark, and Power BI. Leverage DevOps for innovative, sustainable engineering solutions
BIG DATE , ETL , Pyspark with Python , HIVE , Data Modular and any cloud exp Exp - 3.5 to 12 Yts Location - Bangalore and Hyderabsd NP - Immediate to this month
Job Location: Hyderabad, Pune, Chennai, Bangalore, Trivandrum Work mode : Hybrid- 3 days WFO weekly Important : Notice period : Immediate to 15-30 days ONLY. Ca
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
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
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
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
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
Role & responsibilities Must Have - 6+ years data engineering experience - Strong programming skills in Python - Hands on experience with Big Data tech (e.g., Hadoop) and Spark - Comfort working in Agile, highly collaborative teams - Strong written and verbal communication skills Good to have - Expe
Frequently asked questions
Which companies have senior data engineer job vacancies?
Several companies are actively hiring for senior data engineer roles, including Accenture, Tata Consultancy Services, Infosys, Cognizant, and Capgemini. Exploring these employers is a good starting point for your senior data engineer job search.
What is the salary range for senior data engineer jobs?
The salary range for senior 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 5687 senior data engineer openings available.
What are the top industries hiring for senior data engineer jobs?
Senior 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 data engineer professionals.









