5,751 Senior Big Data Engineer Jobs

5–7 yrsPune, India

Join Qualys as a Sr. Big Data Engineer to lead the design and development of our next-gen TruRisk Platform. Leverage Java/Scala, Spark, Kafka, and Micro-services to build scalable, distributed SaaS solutions that process billions of transactions and combat cyber risks

5–7 yrsGurgaon / Gurugram, India

dunnhumby seeks a Sr Big Data Engineer to design and build scalable data solutions, ETL pipelines, and architecture using Python, Spark, Kafka, Airflow, and Azure/GCP. Drive data governance and innovation with 5+ years experience in a flexible, tech-forward environment

8–10 yrsHyderabad / Secunderabad, Telangana, India

Dun & Bradstreet seeks a Senior Software Engineer - Big Data in Hyderabad. Design & optimize scalable data platforms/pipelines using GCP, Python, Databricks, Spark, and ETL/ELT. Leverage 8+ years in big data engineering to shape innovative solutions for a global leader

2 openings
5–7 yrsBengaluru / Bangalore, India

Senior Data Engineer sought to design, build, and support scalable cloud-native AWS data platforms. Own production batch/streaming pipelines, lakehouse architectures using PySpark, SQL, Iceberg, and AWS Glue, Lambda, S3. Requires 5+ years AWS expertise, including Kafka/Kinesis, for reliable ETL/ELT solutions

5–10 yrsHyderabad / Secunderabad, Telangana, India

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

2 openings
3–8 yrsHyderabad / Secunderabad, Telangana, India

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

Pune, India

Infosys seeks a skilled Data Engineer to design, build, and optimize scalable ETL/ELT data pipelines and warehousing solutions on AWS. Leverage your expertise in AWS Glue, Redshift, and data governance to deliver robust analytics. Drive digital transformation with your AWS data engineering expertise

8–10 yrsBengaluru, India

Senior Data Engineer (8-10 years) sought in Bangalore to design and optimize scalable cloud-native data platforms. Leverage Azure Databricks, Cosmos DB, Apache Spark, and Delta Lake to build robust ETL/ELT pipelines. Drive AI/ML and real-time initiatives, ensuring data quality and operational excellence

5–7 yrs₹22.2L - ₹27LHyderabad, India

JD: Act as hands on technical lead across data engineering workstreams Design, build, and optimise large scale data pipelines and data lake solutions Build and maintain AWS native data platforms Implement DevOps and Infrastructure as Code practices using Terraform and CI/CD pipelines Ensure configur

7–12 yrs₹22.2L - ₹27LThiruvananthapuram, India

We are seeking a highly skilled Data Engineering and Analytics professional with 7+ years of experience in designing and optimizing ETL pipelines, enterprise data platforms, and analytics solutions. The ideal candidate should possess strong technical expertise combined with business acumen to transf

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 5550 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.