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Paltech

AWS Cloud Data Engineer

Paltech
Hyderabad, India
4-6 Years
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Job Description

Key Responsibilities

  • Design, develop, and maintain robust ELT/ETL pipelines using Fivetran, dbt Core, and Apache Airflow on AWS infrastructure.
  • Architect and manage data warehouse solutions on Amazon Redshift, optimizing for performance, cost, and scalability.
  • Build and maintain data models in dbt Core, ensuring high data quality, reusability, and documentation standards.
  • Orchestrate complex data workflows using Apache Airflow (MWAA), implementing DAGs with best-practice error handling and alerting.
  • Manage data ingestion pipelines via Fivetran and custom Python-based connectors, integrating diverse data sources into the warehouse.
  • Administer and optimize Amazon S3 data lake structures, including partitioning strategies, lifecycle policies, and access controls.
  • Write advanced SQL queries and stored procedures in Redshift and PostgreSQL for data transformation and analysis.
  • Develop Python scripts and automation utilities to support pipeline reliability, monitoring, and operational efficiency.
  • Leverage Claude AI capabilities to accelerate development, automate documentation, and enhance data operations.
  • Maintain version-controlled codebases using Git, following branching strategies, PR reviews, and CI/CD best practices.
  • Collaborate with data analysts, engineers, and business stakeholders to translate requirements into scalable data solutions.
  • Monitor data pipeline health, troubleshoot failures, and implement proactive alerting and observability solutions.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
  • 4+ years of professional experience in data engineering, analytics engineering, or a similar role.
  • Demonstrated track record of building and maintaining production-grade data pipelines at scale.
  • Experience working in Agile/Scrum environments with collaborative cross-functional teams.
  • Strong communication skills — ability to explain complex technical concepts to non-technical stakeholders.
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty) are a strong plus.
  • dbt Certification is a plus.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

About Company

Paltech

Job ID: 151050817

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Last Updated: 10-07-2026 05:24:56 PM
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