Sr Data Engineer

10 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

We are looking for a

Senior Data Engineer

to lead the design and implementation of scalable data infrastructure and engineering practices. This role will be critical in laying down the architectural foundations for advanced analytics and AI/ML use cases across global business units. You’ll work closely with the Data Science Lead, Product Manager, and other cross-functional stakeholders to ensure data systems are robust, secure, and future-ready.

Key Responsibilities

  • Architect and implement end-to-end data infrastructure including ingestion, transformation, storage, and access layers to support enterprise-scale analytics and machine learning.
  • Define and enforcedata engineering standards, design patterns, and best practices across the CoE.
  • Lead theevaluation and selection of tools, frameworks, and platforms (cloud, open source, commercial) for scalable and secure data processing.
  • Work with data scientists to enable efficient feature extraction, experimentation, and model deployment pipelines.
  • Design forreal-time and batch processing architectures, including support for streaming data and event-driven workflows.
  • Own thedata quality, lineage, and governance frameworks to ensure trust and traceability in data pipelines.
  • Collaborate with central IT, data platform teams, and business units to align on data strategy, infrastructure, and integration patterns.
  • Mentor and guide junior engineers as the team expands, creating a culture of high performance and engineering excellence.

Qualifications

  • 10+ years of hands-on experience in data engineering, data architecture, or platform development.
  • Strong expertise inbuilding distributed data pipelines using tools like Spark, Kafka, Airflow, or equivalent orchestration frameworks.
  • Deep understanding ofdata modeling, data lake/lakehouse architectures, and scalable data warehousing (e.g., Snowflake, BigQuery, Redshift).
  • Advanced proficiency inPython and SQL, with working knowledge of Java or Scala preferred.
  • Strong experience working oncloud-native data architectures (AWS, GCP, or Azure) including serverless, storage, and compute optimization.
  • Proven experience in architectingML/AI-ready data environments, supporting MLOps pipelines and production-grade data flows.
  • Familiarity withDevOps practices, CI/CD for data, and infrastructure-as-code (e.g., Terraform) is a plus.
  • Excellent problem-solving skills and the ability to communicate technical solutions to non-technical stakeholders.

Mock Interview

Practice Video Interview with JobPe AI

Start Java Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Java Skills

Practice Java coding challenges to boost your skills

Start Practicing Java Now

RecommendedJobs for You

Bengaluru, Karnataka, India

Hyderabad, Telangana, India

Greater Bengaluru Area

Hyderabad, Telangana, India

Kolkata, Mumbai, New Delhi, Hyderabad, Pune, Chennai, Bengaluru