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Tier-1 brand, metro location, and mid-level generalist data role with broad skillset drive high competition.
Core cloud data engineering skills (GCP, Spark, BigQuery) are highly transferable across industries.
Multiple mandatory technical skills, explicit 6+ years experience, and cloud certifications increase shortlisting rigidity.
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Design and build high-performance, scalable data platforms using cloud technologies (primarily GCP).
Lead and manage a team of engineers to drive product development and adoption.
Collaborate across product and platform teams to translate business product roadmaps into engineering solutions using DevOps best practices.
Bachelor's degree in computer science, engineering, or related field; Master’s degree is a plus.
6+ years of software development experience with hands-on coding in Java, Python, Scala, or similar languages.
3+ years experience building low code/no code ETL tools for large-scale data transformation on cloud platforms (GCP preferred).
Strong expertise in GCP services, SQL (Hive, MySQL, Postgres), Spark, Big Data, and API development; work experience details beyond years not explicitly mentioned.
Experienced in leading agile, cross-functional engineering teams for cloud data platform development.
Proficient in engineering scalable, secure, and optimized big data solutions leveraging GCP services.
Knowledgeable in DevOps practices, CICD pipelines, and emerging GenAI integrations for data platforms.