Description

Key Responsibilities

 Data Platform Architecture & Pipeline Engineering

·  Design & Build: Develop robust, scalable, and automated Lambda/Kappa data pipelines for both batch and real-time streaming data using GCP Dataflow (Apache Beam) and Cloud Data Fusion.

·  Data Warehousing: Optimize and manage enterprise data warehouses in Google BigQuery, ensuring efficient storage, partitioning, clustering, and query performance.

·  Orchestration: Work with orchestration tools like Cloud Composer (Apache Airflow) to manage complex data workflows and dependencies.

·  CI/CD & DevOps: Implement Infrastructure as Code (IaC) using tools like Terraform and maintain CI/CD pipelines for seamless data deployment.

 Business Intelligence & Enablement

·  Semantic Modeling: Collaborate with analytics teams to model data and develop robust LookML models within Looker.

·  Performance Tuning: Optimize Looker queries and BigQuery costs by implementing caching strategies, materialized views, and efficient BI Engine configurations.

 Data Governance & Quality (Preferred)

·  Compliance & Security: Implement data governance frameworks on GCP using Dataplex, Cloud Data Loss Prevention (DLP), and IAM policies to ensure data privacy and compliance.

·  Data Lineage & Cataloging: Establish and maintain data catalogs, metadata management, and end-to-end data lineage.

·  Data Quality: Build automated testing frameworks to monitor data quality, anomalies, and pipeline health.

Qualifications & Skills

Required Technical Skills

·  GCP Expertise: Minimum of 3–5 years of hands-on experience building production-grade data solutions on Google Cloud Platform.

·  Core Tools: Deep, practical knowledge of BigQuery (SQL optimization, slot management) and Dataflow (Apache Beam in Python or Java).

·  Programming: Strong proficiency in Python, Java, or Scala, alongside expert-level SQL skills.

·  Data Modeling: Solid understanding of data modeling concepts (Star Schema, Snowflake Schema, Data Vault 2.0).

·  Looker/LookML: Experience writing LookML, building explores, and managing Looker deployments.

·  Data Governance: Familiarity with GCP Dataplex, Apache Atlas, or similar data governance and cataloging suites.

·  Certifications: GCP Professional Data Engineer or GCP Professional Cloud Architect certification is a major plus

Key Skills

Education

Any Gradute