Lead Data Engineer, GCP
Posted 5 hours ago
You'll complete your application on Manila Recruitment's career site.
About the Role
This Lead Data Engineer position centers on ensuring the stability, growth, and efficiency of fundamental data systems and processing pipelines. You will spearhead sophisticated data engineering projects, overseeing their entire lifecycle from conceptual architecture to deployment. As a technical lead, you will manage diverse objectives to guarantee that systems are scalable and sustainable. You will utilize a strategic approach to mitigate risks, manage dependencies, and provide guidance that ensures the data infrastructure remains precise and resilient. You will also champion engineering benchmarks and promote high technical standards within the data department. By collaborating with Business Intelligence and Data Science groups, you will convert intricate needs into effective technical results, utilizing advancements like automation and AI to boost productivity and support machine learning and analytical initiatives.
Requirements
- You need a minimum of five years of practical data engineering experience focused on cloud-based production systems.
- You must be highly skilled in Google Cloud Platform, with specific mastery of BigQuery, as well as proficient in Python and SQL for building scalable architectures.
- You must have professional experience using dbt for modeling and transforming data, along with a documented history of utilizing Apache Airflow for managing pipelines and orchestration.
- You should have a firm understanding of data warehousing, architecture, and contemporary ETL/ELT methods, plus the ability to implement rigorous standards for documentation, testing, and code quality.
- You are expected to have leadership experience, including mentoring engineers and performing code reviews.
- You should be proficient with AI-driven development tools and possess the communication abilities to interact effectively with both technical and non-technical partners.
Responsibilities
- You will take full accountability for the performance and dependability of primary data pipelines while defining technical objectives and quality benchmarks for the team.
- Your duties include architecting complex data structures and managing technical initiatives through every stage.
- You will create and uphold best practices concerning Python, SQL, testing procedures, and data governance.
- You will perform design and code audits to safeguard system health while assisting in the training and growth of engineering personnel.
- You will use AI and automation technologies to optimize processes, minimize manual work, and identify data quality problems proactively.
- You will work with BI and data science departments to transform business goals into stable technical frameworks, ensuring a solid base for machine learning and reporting needs.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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