Coding's Art — #1 Web Development & Custom Web Design in Jagraon
On-site Full-time LinkedIn Verified

AWS Data Engineer

Barclays
Pune, Maharashtra, India
Posted 2 weeks ago
⏱️ 2 min read
Official Application & Security Advisory 100% Free

Coding's Art is an automated tech job discovery portal. We never charge candidates, collect interview fees, or recruit via phone/WhatsApp. Never send money or security deposits—always apply directly through the official company link below.

Annual Salary
Estimated

₹18,00,000 - ₹28,00,000 / year

Based on market tech benchmarks
Experience Level
Target

Senior (5+ years)

Prior hands-on project experience
Work Arrangement
Setup

On-site

Office collaboration schedule
Job Location
Base Hub

Pune

Registered workplace address

Required Tech Stack & Skills

AI Role Summary

Barclays in Pune is hiring a Senior AWS Data Engineer to design and operate secure, scalable data pipelines on AWS and Snowflake. The role requires 5+ years of experience with the AWS analytics stack, Airflow, PySpark, Python, and advanced SQL/PLSQL.

Detailed Role Description

About the Role

Barclays is seeking an experienced AWS Data Engineer to drive the design, development, and operation of secure, scalable data pipelines on the AWS Cloud. You will work within the Location Strategy team in Pune, transforming raw data into actionable insights for our digital products and services.

Key Responsibilities

  • Architect, build, and maintain end‑to‑end data pipelines using AWS Glue, Lambda, Step Functions, and Airflow.
  • Design and implement data storage solutions in Snowflake, handling formats such as Parquet, Iceberg, JSON, and CSV.
  • Develop ELT workflows with DBT and orchestrate them via Airflow or Snowflake Tasks.
  • Write performant SQL and PL/SQL queries for data transformation and analytics.
  • Implement data governance, security, and lineage using IAM, Lake Formation, and tools like Immuta or Alation.
  • Collaborate with data scientists, analysts, and product owners to understand data requirements.
  • Mentor junior engineers and ensure best practices for code quality, testing, and documentation.

Required Qualifications & Skills

  • 5+ years of hands‑on experience developing applications on AWS Cloud.
  • Strong expertise with the AWS Data Analytics stack (S3, Glue, Athena, Lambda, Lake Formation, KMS, STS, Step Functions).
  • Proficiency in Python, PySpark, and building Airflow DAGs.
  • Deep knowledge of Snowflake architecture and DBT for ELT pipelines.
  • Advanced SQL/PL‑SQL programming skills.
  • Experience delivering at least two major data engineering projects.

Nice to Have

  • Familiarity with data governance tools such as Immuta or Alation.
  • Experience with Apache Airflow advanced features or Snowflake Tasks.
  • Knowledge of Ab Initio ETL tool.
  • Unix shell scripting and automation using Selenium or Java.

What We Offer / Benefits

  • Competitive CTC with performance‑linked bonuses.
  • Comprehensive health, dental, and vision coverage.
  • Professional development budget and certification support.
  • Flexible working hours and a vibrant tech community.
  • Access to state‑of‑the‑art labs and data platforms.

Quick Role Summary

Job TitleAWS Data Engineer
Experience5+ years
Work ModeOn-site (Pune)
Estimated CTC₹18,00,000 - ₹28,00,000 / year

About The Employer

Verified employer details & hiring contact info

Google Verified
View Business Profile
Company Barclays
Location Pune, Maharashtra, India

Before You Apply: 2 Quick Steps to Maximize Callbacks

Recommended

Over 70% of tech resumes are filtered by ATS scanners. Increase your interview shortlist chances:

📝 AI Resume Scanner
Free ATS

Check your instant ATS match score and discover critical missing keywords for this role before applying.

Scan Resume (Free)
🏆 1-Min Skill Quiz
Verified Badge

Answer 5 quick role-specific questions to test your skills and earn a Verified Role Badge.

Take 1-Min Quiz
Apply for this Job
Official Portal: www.linkedin.com

More Opportunities in Pune

Explore active job vacancies matching your experience and tech stack.

Join Telegram Channel
Chat with AI Assistant