qode.world

Tech Lead, AWS

qode.world

full-time

Posted on:

Origin:  • 🇺🇸 United States • South Carolina

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Job Level

Senior

Tech Stack

Amazon RedshiftAWSCloudDockerETLKubernetesPySparkPythonSQL

About the role

  • We are looking for a highly experienced Data Engineer – AWS Tech Lead to design and lead scalable cloud-based data solutions.
  • Lead the design, development, and deployment of large-scale data pipelines and solutions on AWS.
  • Provide technical leadership and mentorship to a team of data engineers, ensuring best practices in coding, architecture, and performance optimization.
  • Architect data lake and data warehouse solutions leveraging AWS Glue, Redshift, S3, Athena, EMR, and Lambda.
  • Drive development of ETL/ELT processes using PySpark, Python, and SQL.
  • Implement and enforce data governance, quality checks, and security standards across the platform.
  • Collaborate with business analysts, data scientists, and product teams to translate business requirements into scalable solutions.
  • Optimize cost and performance of AWS-based data workloads.
  • Troubleshoot production issues and ensure high availability of data pipelines.
  • Participate in sprint planning, backlog refinement, and Agile ceremonies as a technical lead.

Requirements

  • 13+ years of experience in Data Engineering, with at least 4+ years in a technical leadership role.
  • Strong expertise in AWS data services: Glue, S3, Redshift, Athena, Lambda, Step Functions, EMR.
  • Proficiency in PySpark, Python, and SQL for large-scale data processing.
  • Solid experience in data modeling (star, snowflake, dimensional modeling) and data lake/warehouse architectures.
  • Proven track record in leading and mentoring data engineering teams.
  • Strong understanding of Agile methodologies and CI/CD practices for data pipelines.
  • Preferred: Experience in BFSI / Wealth Management domain.
  • Preferred: AWS Certification (Data Analytics Specialty, Solutions Architect, or Big Data).
  • Preferred: Familiarity with containerization (Docker, Kubernetes) and orchestration frameworks.