Data Engineer

JOB Description : Role: Senior Data Engineer Location: Chennai / Bengaluru Work Mode : Hybrid Notice Period: Immediate to 15 days Years of Exp: 4+ Years

About the R ol e:We are looking for a highly skil

led Senior Data Engi neer with ML to design, build, and operate reliable, scalable, and cost-efficient data pipelines. This role focuses on production-grade data systems us

ing Pyth on and modern orchestration tools, with strong collaboration across Data Science and analytics teams.You will play a key role in enabling high-quality, well-governed, and discoverable data across the organizat i on .Key Responsibi lit

ies 🔹 Data Pipeline Engi nee

• ringDesign, build, and maintain robust, scalable data pipelin

es using Py

• thonDevelop and manage orchestration workflo

ws using Apach e A

irflow / Google Cloud Co mpo

• ser.Ensure high availability, fault tolerance, and performance of data workf
• lowsImplement monitoring, alerting, and observability best pra

cti ces.

🔹 Production Operations & Re liab

• ilityOwn scheduling, monitoring, and incident management for data pipe
• linesEnsure SLAs and data freshness requirements ar
• e metImplement proactive quality checks and validation frame
• worksOptimize pipelines for performance and cost-efficiency in cloud env

iron ments

🔹 Data Governance & Co llabo

• rationDefine

and enforce d ata contracts across producers and c

• onsumeContribute to an

d maintain a d ata ca

• talog.Partner closely with Data Science and Analytics teams for schema alignment, data discovery, and pipeline optimiz
• ation.Support reproducibility and transparency of datasets used

in mo deling

🔹 Cloud & Archi

• tect

ureWork within Google Cloud Platform (GCP) envir

• onmentsDesign cost-aware architectures and storage strategiesImprove CI/CD, version control, and deployment workflows for data s
• ystems.
• Required Skills &a mp; Ex
• perienceStrong

profic iency in Python with ML Deployme

• nt(must)Hands-on

experience wit h Apache

Airflow and/or Google Cloud

• ComposerExperience building and maintaining production data pi
• pelines.Strong understanding of Workflow orchestration (
• Airflow)Monitoring & alertingData quality fra
• meworks.Scheduling & dependency man
• agement.Experience with cloud platfo

rms (prefera

• bly GCP)Solid understanding of data modeling and pipeline design p
• rincipleExperience implementing

or working with data contr

act Exposure to data catalogs and metadata man

• agement.Strong operational mindset with focus on reliability and maintai nability