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Sr. Data Engineer

🕒 2 days ago
Data EngineeringAWSSQLPython

📜 Description

  • Architect, build, and evolve scalable data pipelines and platforms across AWS and Microsoft technology ecosystems.
  • Design data models, warehouse structures, and orchestration patterns that support analytics, product insights, reporting, and business intelligence.
  • Establish and continuously improve standards for data quality, governance, reliability, observability, performance, and scalability across the data lifecycle.
  • Partner with engineering, product, analytics, and business stakeholders to define data strategy and translate complex business requirements into effective technical solutions.
  • Mentor and guide data engineers, helping strengthen engineering practices, technical decision-making, and team capabilities.

🛠️ Requirements

  • Significant experience in data engineering, including designing, building, and scaling data platforms in cloud environments; AWS experience preferred.
  • Advanced proficiency in SQL and Python, including developing ETL/ELT pipelines and optimizing large-scale data systems.
  • Strong knowledge of modern data architecture, including data modeling, warehousing, orchestration, and distributed data processing concepts.
  • Hands-on experience with AWS technologies such as Glue, Lambda, and Step Functions, as well as infrastructure-as-code tools like Terraform.
  • Proven ability to influence technical direction and collaborate across teams to deliver meaningful business and product outcomes.

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