Data Engineer at Western Digital

Short Description:

Western Digital in Bengaluru seeks an Data Engineer specializing in Data Analytics Engineering to maintain and optimize data pipelines. This full-time position entails integrating and monitoring end-to-end data processes, ensuring data quality and consistency. The role involves collaborating with cross-functional teams to understand data requirements and provide technical solutions. Candidates should possess a Bachelor's degree in relevant fields and at least 1 year of experience in data engineering pipelines and DevOps for ML applications. Strong communication skills and problem-solving abilities are essential for success in this role.

Position: Data Engineer
Company: Western Digital
Location: Bengaluru
Job type: Full time
Job mode: Onsite

Introduction

In the bustling tech hub of Bengaluru, India, Western Digital seeks an Engineer specializing in Data Analytics Engineering to join their dynamic team. This role, situated within the Data Analytics Engineering business function, offers a full-time opportunity at the Bangalore Hallmark Office. As an exempt position, this role promises competitive compensation and benefits, aligning with Western Digital's commitment to fostering innovation and pushing technological boundaries.

Company Overview

Western Digital envisions powering global innovation, transcending technological limitations to achieve the seemingly impossible. With a rich history of problem-solving, Western Digital's technology has contributed to remarkable achievements, including aiding in lunar exploration. As a trusted partner to leading organizations worldwide, Western Digital fuels progress in diverse fields, from enhancing gaming platforms to enabling safer cities and smarter vehicles. Their data-centric solutions under brands like Western Digital®, G-Technology™, SanDisk®, and WD® cater to both business and consumer needs, ensuring a brighter, smarter future through innovation.

Job Description

Responsibilities

As an Engineer specializing in Data Analytics Engineering, your core responsibilities include:

1. Integration and Maintenance of Data Pipeline

Ensuring end-to-end data pipeline functionality, maintaining data quality and consistency from source systems to target repositories.
Continuous monitoring and optimization of data pipelines for peak performance and efficiency.

2. Support for Critical Data Processes

Providing support for essential data processes running in production environments, ensuring seamless operations.

3. Collaboration and Documentation

Collaborating with cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehend data requirements and deliver technical solutions.
Documenting data engineering processes, data flows, and architecture to ensure clarity and transparency.

Qualifications

Academic Background

A Bachelor's degree in a relevant field such as Data Science, Computer Science, Statistics, Engineering, or Applied Sciences.

Experience

Minimum of 1 year of experience in building data engineering pipelines and DevOps for Machine Learning (ML) applications.
Proficiency in programming languages such as Pyspark/Python and SQL for data engineering and transformation.
Experience in designing and deploying data applications on cloud solutions like Azure or AWS, Edge, and Dockers.
Familiarity with Continuous Integration/Continuous Deployment (CI/CD) using Jenkins for applications.
Experience in data modeling, ETL development, and data integration.
Strong communication and stakeholder management skills to effectively understand requirements and take action accordingly.
Demonstrated analytical and problem-solving abilities, particularly in a big data environment.