Must Have Skills:

 Advanced
GCP Data Engineering Expertise : Robust hands -on experience with GCP services
such as BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Storage for building
large -scale data platforms.

 Data
Architecture & Modeling : Deep understanding of data warehousing, dimensional modeling,
and lakehouse architectures to support analytics and reporting.

 Leadership
& Stakeholder Collaboration : Proven ability to lead engineering initiatives, mentor teams,
and collaborate with business, analytics, and architecture stakeholders to deliver data solutions.

 Expertise Scalable Data Pipeline Development : Expertise in designing and implementing high -performance
ETL/ELT pipelines (batch and real -time) using Python, SQL, and frameworks
like Apache Beam or Spark.

Nice to Have Skills:

 Experience with Containerization & Kubernetes : Experience with Docker and Kubernetes
(GKE) for deploying and managing scalable data platforms.

 Knowledge of Streaming & Real -Time Processing : Familiarity with Kafka, Pub/Sub streaming,
and event -driven architectures for real -time data processing.

 Multi -Cloud
Experience : Exposure to AWS
or Azure environments for building and integrating cross -cloud data
solutions.

 Machine
Learning & Advanced Analytics Integration : Experience supporting ML pipelines (Vertex
AI) or analytics workflows to enable data science and AI use cases.

Minimum Years of Experience:10

Top 3 responsibilities you
would expect the Subcon to shoulder and execute
 Drive Customer Engagement Strategy
Execution:
Design and execute customer engagement plans, ensuring consistent
communication, improved customer experience, and alignment with business
objectives.

 Manage Customer Relationships &
Satisfaction:
Act as the primary point of contact for key customers, proactively address
concerns, gather feedback, and ensure high levels of customer satisfaction
and retention.