Data engineer 1

Antuit India Private Limited; Bengaluru; Híbrido; INR 800.000 - 1.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

hybrid work

adaptable hours

Summer Flex Fridays

Focus Fridays

annual companywide well-being day

Descripción de la vacante

Zebra is seeking a Data and QA Engineer in Bengaluru to design robust data pipelines that support our AI products. The role spans development and QA, including end-to-end testing and UI verification using Agentic AI workflows.

You will build automated data pipelines, validate results at the UI level, and collaborate with clients and internal teams to ensure data accuracy and performance across platforms.

Formación

• Hands-on QA, UI and data automation experience.
• Experience in data engineering for ETL pipelines.
• 1+ years automation with Python, PySpark, SQL.
• Experience with GCP/Azure, DLT, LLM, RAG.

Responsabilidades

• Design and build robust data pipelines for AI products.
• Develop productized and parameterized data pipelines leveraging GPUs/CPUs.
• Develop data transformation code in Spark (Python/Scala) and Dask.
• Create data validation tests and UI verification with agentic frameworks.
• Verify product functionality backend and UI against requirements.
• Document defects with test steps and reproduction steps.
• Conduct performance testing and profiling of the code.
• Operationalize scalable data pipelines for data science workloads.

Conocimientos

ETL development

Data pipelines

UI testing

QA automation

Agentic AI

Python

PySpark

SQL

Educación

BE/BTech Engineering

Herramientas

Azure

GCP

Azure Data Factory

Spark

Dask

Playwright

Selenium

LLM

Descripción del empleo

Overview

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally. Come make an impact every day at Zebra.

What We’re Looking For

A Data and QA Engineer in this role will be responsible for understanding client technical requirements and designing and building robust data pipelines to support them. Because this is a highly fungible, end-to-end role, the candidate must span both development and quality assurance. Beyond hands on ETL development and solution building, they will be responsible for loading data, performing end-to-end testing, and verifying that the processed data is accurately represented in the software product's UI. To achieve this, the engineer will build and automate data pipelines while validating results at the UI level using Agentic AI QA and development workflows, incorporating necessary human-in-the-loop processes. Success in this role requires strong verbal and written communication skills to interface effectively with both clients and internal teams. Candidates must possess a deep understanding of databases, SQL, cloud technologies, and modern data integration and orchestration tools (such as Azure Data Factory). Additionally experience in data and UI testing across software products is required.

• Play a critical role in the design and implementation of data platforms for the AI products.
• Develop productized and parameterized data pipelines that feed AI products leveraging GPUs and CPUs.
• Develop efficient data transformation code in spark (in Python and Scala) and Dask.
• Develop data validation tests to assess the quality of the data using agentic frameworks incorporating necessary human-in-the-loop processes to continuously validate and ensure automation effectiveness
• Verifies Product functionality both from backend and UI against user requirements or specification
• Verifies bug reports provided by customers, works with customers to specify reproduction steps
• Documents defects with clearly described test steps and reproduction steps.
• Conduct performance testing and profiling of the code using a variety of tools and techniques.
• Build data pipeline frameworks to automate high-volume and real-time data delivery for our data hub.
• Operationalize scalable data pipelines to support data science and advanced analytics.
• Optimize customer data science workloads and manage cloud services costs/utilization.

Experience

• Experience Looking for B.E/ B.TECH Engineering .
• Looking for candidate with hands on QA -UI and Data automation with agentic AI experience
• Experience in data engineering for building ETL pipelines .
• Looking for 1+ years' experience with automation skill .. Python , PySpark GCP/ Azure , DLT ,LLM , RAG, Playwright, Selenium, SQL

Benefits

• hybrid work
• adaptable hours
• Summer Flex Fridays
• Focus Fridays
• an annual companywide well-being day