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Job Description

Role Overview

We are looking for a passionate Senior Data Engineer with deep expertise in AWS-based data solutions. In this role, you will design, deploy, and optimize cloud-native data pipelines and frameworks that enable high-performance analytics and data-driven decision-making. You'll work as an individual contributor in a dynamic environmentsolving complex data challenges, ensuring cost efficiency, and driving excellence in cloud architecture.

Key Responsibilities

  • Design, deploy, and manage data solutions leveraging AWS services such as S3, Lambda, SNS, Cloud Step Functions, and MWAA (Airflow orchestration).
  • Process large volumes of structured and semi-structured data efficiently and securely.
  • Build and optimize data lakes and manage configurations using Delta Tables.
  • Implement scalable data integration frameworks aligned with business and technical needs.
  • Apply strong cost optimization and performance tuning strategies for compute and storage workloads.
  • Collaborate with cross-functional teams to ensure data quality, governance, and lineage.
  • Communicate effectively with IT stakeholders and business teams, understanding pain points to deliver impactful solutions.

Required Skills & Experience

  • 48 years of experience in Data Engineering with strong hands-on exposure to AWS services.
  • Proficiency in PySpark, S3, Lambda, SNS, Cloud Step Functions, and MWAA (Airflow).
  • Strong understanding of data lake architecture, ETL design, and Delta Table configurations.
  • Proven track record in data transformation, data pipeline automation, and metadata management.
  • Sound knowledge of computing, performance optimization, and cost management on AWS.
  • Experience with data governance principles, metadata management, and data lineage tracking is an advantage.
  • Excellent communication and stakeholder management skills.

Why Join Us

  • Be part of a fast-growing global analytics leader recognized for innovation and excellence.
  • Work with cutting-edge AWS technologies and modern data engineering frameworks.
  • Collaborate with top minds in analytics, data science, and cloud architecture.
  • Enjoy a collaborative culture that values learning, growth, and experimentation

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About Company

Job ID: 130842419

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