Nielsen

Member Technical Staff II

Nielsen
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13 hours ago
Bengaluru, IndiaMid Level

Responsibilities

  • Design, write, test, and deploy scalable backend code primarily in Java and Python.
  • Build and maintain high-throughput data ingestion workflows, ETL pipelines, and data formatting or analytics processes.
  • Monitor and optimize application performance, including CPU, memory, database queries, and data transfer bottlenecks.
  • Participate in system design discussions, code reviews, Scrum ceremonies, and production feature delivery.
  • Work with AWS infrastructure, Kubernetes deployments, CI/CD pipelines, Docker, and infrastructure-as-code tools.
  • Debug infrastructure and code-level issues and provide guidance to junior Software Engineers.

Requirements

  • 3–6 years of professional software engineering experience focused on backend or data-heavy applications.
  • Strong hands-on proficiency in Java and Python.
  • Experience building ETL pipelines and working with Apache Spark and data formatting or analytics tools.
  • Experience with SQL and NoSQL databases, including PostgreSQL, MySQL, DynamoDB, MongoDB, and Cassandra.
  • Experience with Kafka, AWS SQS, RabbitMQ, AWS services, GitLab or Jenkins, Docker, Kubernetes, and infrastructure-as-code tools such as Terraform or AWS CloudFormation.
  • Ability to own complex features through production deployment and independently resolve infrastructure and code-level issues.
  • Strong communication and collaboration skills, plus basic knowledge of HTML, CSS, and JavaScript for frontend integration or internal dashboards.
  • Understanding of Scrum and Agile development procedures and workflows.

Tech Stack

Amazon DynamoDBApache CassandraApache KafkaApache SparkAWSCSSDockerHTMLJavaJavaScriptJenkinsKubernetesMongoDBMySQLPostgreSQLPythonRabbitMQTerraform

Categories

BackendData Engineering
Nielsen

About Nielsen

10,000+ employees

Nielsen provides audience measurement and analytics that quantify who watches, listens, and buys across TV, digital, radio, and streaming. It sells ratings, cross-platform datasets, and advertising effectiveness tools to media owners, advertisers, and agencies on subscription and consulting agreements. Founded in 1923 and headquartered in New York, it operates in 55+ countries and is known for U.S. TV ratings.

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