# AI/ML Data Engineer

**Company**: Hewlett Packard Enterprise
**Location**: Bengaluru, Karnātaka
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/AI-ML-Data-Engineer_1207383-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_501ffd0e-67f

## Description

At HPE Networking, the Digital Experience & Automation (DEA) team is reimagining how people experience support and services in a digital-first world. As an AI/ML Data Engineer, you will develop, maintain, and optimize data pipelines and workflows to ensure seamless data ingestion and transformation.

Responsibilities:

- Design, develop, implement, and architect Data Engineering pipelines, considering performance & scalability including data storage and processing.

- Implement advanced data transformations and quality checks to ensure data accuracy, completeness, security, and consistency of data.

- Seamlessly integrate data from diverse sources, for data ingestion, transformation, and storage, leveraging AWS S3 Storage and possibly Snowflake as a SQL Data Warehouse.

- Create and implement advanced data models and schemas and ensure data governance and data management best practices.

Qualifications and Desired Experiences:

- 5+ years of data analysis and engineering experience

- Bachelor’s degree in computer science, Statistics, Informatics, Information Systems, or another quantitative field.

- Working knowledge of API or Stream-based data extraction processes like Salesforce API and Bulk API and have hands-on experience in web crawling.

Primary Tech skills:

- Advanced Web-crawling & scraping methods and tools

- Building end-end Data Engineering pipelines for Semi and unstructured data (Text, all kinds of simple/complex table structures, images, video, and audio data)

- Python, Pyspark, SQL, RDBMS

- Data Transformation (ETL/ELT) activities

- SQL Data warehouse (e.g., Snowflake) working / preferably administration

Secondary Tech skills:

- Databricks

- Familiarity with AWS services: S3, Glue, EMR, EC2, RDS, monitoring, and IAM

- Kafka, Spark & Kafka Streaming

- Workflow automation (e.g., using Github actions)

- Performing RCA

Personal Skills:

- Ability to collaborate cross-functionally and build sound working relationships within all levels of the organization

- Ability to handle sensitive information with keen attention to detail and accuracy. Passion for data handling ethics.

- Effective time management skills and ability to solve complex technical problems with creative solutions while anticipating stakeholder needs and helping meet or exceed expectations

- Comfortable with ambiguity and uncertainty of change when assessing needs for stakeholders

- Self-motivated and innovative; confident when working independently, but an excellent team player with a growth-oriented personality

## Skills

### Required
- Python
- Pyspark
- SQL
- RDBMS
- Data Transformation
- Snowflake
- Web-crawling
- scraping
- Data Engineering

### Nice to have
- Databricks
- AWS services
- Kafka
- Spark & Kafka Streaming
- Workflow automation
- RCA

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/AI-ML-Data-Engineer_1207383-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
