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Strong Tier-1 brand, metro location, and broad generalist data engineering skills increase candidate competition.
Technical skills broadly transferable, but senior principal role prefers industry-specific and leadership experience.
Explicit 12–17 years requirement plus deep cloud and data engineering skills makes shortlisting highly stringent.
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Lead design, development, and implementation of scalable data architectures and cloud-based data platforms.
Mentor and guide a data engineering team, fostering innovation and best practices.
Oversee data pipelines, data integration, governance policies, and troubleshoot complex data challenges.
12 to 17 years of experience in data engineering or related roles.
Bachelor's degree required; AWS Certified Data Engineer or Databricks Certification preferred.
Proficiency with cloud platforms (AWS, Azure, GCP), Python, PySpark, SQL, and big data ETL performance tuning.
Experience leading and developing high-performing data engineering teams.
Experienced leader with strong expertise in cloud-based data engineering and architecture.
Hands-on with rapid prototyping and complex problem-solving in large scale data environments.
Demonstrated ability to manage and mentor teams delivering data solutions aligned with business needs.