Big Data Engineer at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Big Data, Data Pipelines, Data Storage Solutions, NoSQL Databases, Data Warehouses, Apache Hadoop, Spark, Flink, Kafka, SQL, Python, Java, Scala, Cloud Platforms, Distributed Systems, Database Management

Industry

Telecommunications

Description

Design, develop, and maintain scalable data pipelines for processing structured and unstructured data. Build and optimise data storage solutions including distributed file systems, NoSQL databases, and data warehouses. Utilise big data frameworks such as Apache Hadoop, Spark, Flink, and Kafka to develop data processing workflows. Ensure high performance and scalability through parallel processing, distributed computing, and caching strategies. Implement monitoring, alerting, and automated scaling mechanisms for big data systems. Maintain data quality and governance by applying validation, cleansing, and enrichment processes. Collaborate with data scientists, analysts, and engineers to align data solutions with business objectives. Document system architecture and processes, and provide training and support to stakeholders. Graduate or Postgraduate in Computer Science, Engineering, or a related technical field. Over 5 years of experience in building cloud-based data engineering solutions. Proficient in SQL and programming languages such as Python, Java, or Scala. Hands-on experience with big data technologies including Apache Hadoop, Spark, Flink, and Kafka. Familiar with cloud platforms such as AWS, GCP, or Azure. Experienced in streaming tools like Amazon Kinesis, Apache Kafka, Flink, or Pulsar. Strong understanding of distributed systems and database management principles. Excellent communication and collaboration skills with a proactive approach to problem-solving. Ability to work independently and manage multiple priorities in a fast-paced environment. Familiarity with ITIL practices and experience in large global organisations is desirable. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

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Responsibilities

Design, develop, and maintain scalable data pipelines for processing structured and unstructured data. Collaborate with data scientists, analysts, and engineers to align data solutions with business objectives.