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Senior, niche GCP data role at Tier-1 firm in metro Hyderabad causing moderate competition.
Strong GCP and data platform focus makes this role less transferable across industries without similar cloud-platform experience.
Explicit 15–20 years plus heavy mandatory GCP, BigQuery, DBT, Kafka and leadership skills.
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Architect, design, and implement large-scale data pipelines and ETL/ELT workflows using GCP services such as BigQuery, Cloud Composer (Airflow), and Dataflow.
Lead cloud-native data platform modernization initiatives and define best practices for data ingestion, transformation, and governance.
Mentor junior engineers, lead architectural reviews, ensure security best practices, and collaborate with cross-functional teams on data engineering solutions.
15 to 20 years of experience in data engineering or related roles.
Expertise in GCP services: BigQuery (query optimization, partitioning, clustering), Cloud Composer (Airflow), Dataflow, GCS, Cloud Functions, Pub/Sub, IAM.
Proficiency in Python, Java, SQL (advanced analytical and query tuning), Shell scripting, Spark, DBT or similar tools, Snowflake, and Kafka.
Bachelor’s or master’s degree in computer science, information technology, or a related field.
Experienced in architecting and leading large-scale, cloud-native data platform projects with a focus on GCP.
Strong technical leadership capability demonstrated by mentoring and guiding teams and leading architectural reviews.
Skilled in both batch and streaming data processing technologies with comprehensive expertise across the modern data engineering technology stack.