
Data Engineer
3 weeks ago
Responsibilities :
- Design, develop, and maintain scalable data pipelines and ETL processes on Google Cloud Platform (GCP).
- Work extensively with BigQuery for data modeling, query optimization, and large-scale data processing.
- Build and manage data integration workflows using Python and automation scripts.
- Write and optimize complex SQL queries for analytics, reporting, and data transformations.
- Manage and maintain structured and unstructured data in PostgreSQL and MongoDB.
- Ensure data accuracy, consistency, and availability across multiple systems.
- Collaborate with data scientists, analysts, and stakeholders to understand business requirements and deliver reliable data solutions.
- Implement data quality checks, monitoring, and performance improvements.
- Ensure compliance with security, privacy, and governance standards in data handling.
Requirements :
- Proven experience as a Data Engineer with strong expertise in Google Cloud Platform (GCP) services.
- Hands-on experience with BigQuery (data modeling, partitioning, performance tuning).
- Proficiency in Python for data engineering, automation, and scripting.
- Strong knowledge of SQL with the ability to write complex queries and optimize performance.
- Experience working with PostgreSQL and MongoDB databases.
- Solid understanding of data warehouse concepts, ETL pipelines, and real-time/streaming data solutions.
- Experience with version control (Git), CI/CD pipelines, and cloud-native tools.
- Strong problem-solving skills and ability to work in a collaborative environment.
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent work experience).
Preferred (Good to Have) :
- Experience with data orchestration tools (e. g., Airflow, Luigi, Dataflow).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Exposure to data visualization or BI tools (e. g., Looker, Tableau, Power BI).
(ref:hirist.tech)
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