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Tier-1 brand, generic lead title, and metro location increase applicant density.
Data engineering skills on GCP and Python are broadly transferable across industries.
Explicit 8–10 years requirement and mandatory GCP/Python stack raise shortlisting strictness.
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Lead and influence complex, companywide technology initiatives including setting engineering standards and best practices.
Design, develop, review, and optimize large-scale technology solutions with strategic business impact, particularly in data engineering and cloud platforms.
Provide technical leadership and mentorship, drive new initiatives, and collaborate with cross-functional teams to resolve complex issues.
Minimum 5+ years of software engineering experience or equivalent (work experience, training, education, military).
8–10 years experience in data engineering or backend development is expected.
Strong hands-on experience with Google Cloud Platform components such as BigQuery, Dataflow/Apache Beam, Cloud Storage, and Pub/Sub.
Proficiency in Python programming and experience building scalable ETL/ELT pipelines.
Experienced in designing and implementing scalable data lake and data platform solutions on GCP with strong understanding of modern data architecture.
Skilled at integrating identity and access management (IAM) data, ensuring data governance, security, and cost optimization in cloud workloads.
Able to provide technical leadership, contribute to architectural decisions, and mentor junior team members effectively.