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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Data Engineer Google Cloud Platform • Bangalore,Hyderabad
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