1 day ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, build, and maintain scalable data pipelines and cloud solutions.
- Develop automated data ingestion, processing, and optimization workflows.
- Ensure data quality, reliability, and performance.
- Collaborate with cross-functional teams to solve complex data challenges.
- Evaluate and implement new technologies to enhance platform capabilities.
Requirements
- Require 2–4 years of experience in data engineering, cloud development, or a related field.
- Require strong hands-on experience with Kafka, Spark, ClickHouse, ArangoDB, or similar technologies.
- Require experience with AWS, Azure, or GCP.
- Require proficiency in Python, Java, or Scala.
- Require knowledge of Linux, shell scripting, CI/CD, and distributed systems.
- Prefer exposure to Kubernetes, Docker, NoSQL databases, message queues, Elasticsearch, and visualization tools.
- Prefer understanding of generative AI and agentic AI concepts.
- Require a bachelor's or master's degree in computer science or a related discipline.
- Require strong analytical, problem-solving, and communication skills.
Benefits
- Comprehensive health, financial, and emotional wellbeing benefits for team members and their loved ones.
- Personal and professional development programs supporting career growth and movement across divisions.
- Inclusive workplace culture and flexibility to manage work and personal needs.
- Onsite work arrangement with the expectation of primarily working from an HPE office.
Tech Stack
Apache KafkaApache SparkAWSAzureClickHouseDockerElasticsearchGoogle Cloud PlatformJavaKubernetesLinuxPythonScala
Categories
Data Engineering
About HPE
Hewlett Packard Enterprise (HPE) builds enterprise IT infrastructure and services, including servers, storage, networking (Aruba), and hybrid edge-to-cloud platforms like HPE GreenLake for businesses and public-sector organizations. Formed in 2015 after Hewlett-Packard’s split, HPE is headquartered in Houston, Texas and trades on the NYSE. It sells hardware, software, and subscription-based managed cloud services to help customers run workloads across data centers, colocation, and public clouds.