Senior Data Engineer
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Job Description
Senior Data Engineer designing GCP-native data solutions for machine learning and analytics initiatives. Building reusable data products and collaborating with cross-functional teams in a remote setup.
Responsibilities:
- Design and implement a scalable, GCP-native data strategy aligned with machine learning and analytics initiatives.
- Build, operate, and evolve reusable data products that deliver compounding business value.
- Architect and govern squad-owned data storage strategies using BigQuery, AlloyDB, ODS, and transactional systems.
- Develop high-performance data transformations and analytical workflows using Python and SQL.
- Lead ingestion and streaming strategies using Pub/Sub, Datastream (CDC), and Cloud Dataflow (Apache Beam).
- Orchestrate data workflows using Cloud Composer (Airflow) and manage transformations with Dataform.
- Modernize legacy data assets and decouple procedural logic from operational databases into analytical platforms.
- Apply Dataplex capabilities to enforce data governance, quality, lineage, and discoverability.
- Collaborate closely with engineering, product, and data science teams in an iterative, squad-based environment.
- Drive technical decision-making, resolve ambiguity, and influence data architecture direction.
- Ensure data solutions are secure, scalable, observable, and aligned with best practices.
Requirements:
- 8+ years of professional experience in data engineering or a related discipline.
- Expert-level proficiency in Python and SQL for scalable data transformation and analysis.
- Deep expertise with Google Cloud Platform data services, especially BigQuery.
- Hands-on experience with AlloyDB (PostgreSQL) and Cloud SQL (PostgreSQL).
- Strong understanding of domain-driven data design and data product thinking.
- Proven experience architecting ingestion pipelines using Pub/Sub and Datastream (CDC).
- Expertise with Dataform, Cloud Composer (Airflow), and Cloud Dataflow (Apache Beam).
- Experience modernizing legacy data systems and optimizing complex SQL/procedural logic.
- Ability to work independently and lead initiatives with minimal guidance.
- Strong critical thinking, problem-solving, and decision-making skills.
Benefits:
- Flexible work arrangements
- Professional development
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