Showing 5,751 Senior Big Data Engineer Jobs
Experience working of programming languages like Java, Python etc. Knowledge of relational databases (RDBMS) like Oracle, MYSQL, MS SQL Server etc. Understanding and working experience with Hadoop, Hive, Pig, Sqoop, Map/Reduce, Oozie, Spark etc. Understanding of No-SQL databases like Mongo, HBase et
Hiring for tech Mahindra Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-toend datastore migration from on-prem DataLake to AWS hosted LakeHouse. This is a high visibility and crucial project for Goldman Sachs. Responsibilities of the Eng
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
Lead and mentor a team of data engineers, providing technical direction and career guidance. Define the target data platform architecture for migrating from on-prem HDFS/Hive to Cloud Object Storage (e.g., AWS S3, Azure Data Lake Storage, or GCP Cloud Storage). Select and integrate cloud-based compu
We are looking for a skilled Python + Bigdata professional with 3 to 0 years of experience, located in Chennai and Pune. The ideal candidate will have expertise in Python and Bigdata. Roles and Responsibility Design, develop, and implement scalable data processing pipelines using Python. Collaborate
Role: BigData and Hadoop Ecosystems E2 Experience: 6-8 yrs location: Chennai / pune Requirements: 1. Hands on development experience in programming languages such as JAVA,SCALA using Maven, Apache Spark Frameworks and Unix Shell. 2. scripting Should be comfortable with Unix File system as well as HD
Key Responsibilities 1. Quantitative Model Design & Development Architect and develop financial models for pricing, risk, and trading strategies Design frameworks for derivatives pricing, portfolio optimization, and risk analytics Ensure models are scalable, reusable, and production-ready 2. Archite
Job Title: Data Engineer (Bigdata, Redshift, spark, Scala and AWS) Location: Pan India or Preferably Bangalore, Hyderabad, Delhi Experience range : 8- 13years Virtual Interview : 28th April (Tues) Timing : 10 am - 4pm Job description Technical Proficiency: Strong programming skills in Scala and/or P
Educational Requirements MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech Service Line Data Analytics Unit Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities,
Educational Requirements BTech,BCA,BSc,MTech,MSc,MCA Service Line Data Analytics Unit Responsibilities Provide L2/L3 production support for Informatica ETL workflows and Big Data pipelines. Monitor and support Hadoop ecosystem components (HDFS, Hive, YARN, etc.). Handle incident management, root cau
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.