Data Engineer - Hyderabad
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El puesto
This role seeks a Data Engineer to design, build, and maintain scalable ETL pipelines that process large volumes of operational data.
Lead and collaborate with cross-functional teams to design complex datasets and reusable data frameworks.
Develop distributed data systems using Spark, Trino, Hive, and Airflow, with strong SQL emphasis.
Mentor teammates and participate in requirements gathering, architecture, and delivery across global AMER and APAC regions.
Operate with Agile/Scrum practices, CI/CD, and cloud platforms like AWS, Azure, or GCP.
Experience with FinOps, Tableau, and data visualization is a plus; drive data maturity and cost-aware capacity planning.
Lead and collaborate with cross-functional teams to design complex datasets and reusable data frameworks.
Develop distributed data systems using Spark, Trino, Hive, and Airflow, with strong SQL emphasis.
Mentor teammates and participate in requirements gathering, architecture, and delivery across global AMER and APAC regions.
Operate with Agile/Scrum practices, CI/CD, and cloud platforms like AWS, Azure, or GCP.
Experience with FinOps, Tableau, and data visualization is a plus; drive data maturity and cost-aware capacity planning.
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