[Hiring] GCP Data Lead @Cynet Systems

Role Description

• Design, develop, and maintain scalable ETL/ELT pipelines using GCP Dataflow and Python.
• Develop and optimize BigQuery datasets, tables, views, partitioning, and clustering strategies.
• Create and maintain complex SQL queries, stored procedures, functions, and database objects in MS SQL Server.
• Migrate and integrate data from on-premises databases and various source systems into GCP.
• Implement data quality, validation, reconciliation, and monitoring frameworks.
• Work with Cloud Storage (GCS), BigQuery, Dataflow, and Composer/Airflow for end-to-end data processing.
• Analyze performance bottlenecks and optimize large-scale data workloads.
• Build reusable Python components for data ingestion, transformation, and automation.
• Collaborate with business stakeholders, architects, and data analysts to understand requirements.
• Ensure data security, governance, and compliance standards are followed.

Qualifications

• Strong experience in MS SQL Server including SQL, Stored Procedures, Views, Functions, and Performance Tuning.
• Proficiency in Python for data engineering and automation.
• Hands-on experience with Google BigQuery.
• Experience developing data pipelines using Google Cloud Dataflow and Apache Beam.
• Knowledge of GCP services such as Cloud Storage, Pub/Sub, Cloud Composer, IAM, and Monitoring.
• Strong understanding of ETL/ELT, Data Warehousing, and Data Modeling concepts.
• Experience with source control tools such as Git.
• Knowledge of Agile/Scrum methodologies.

Requirements

• 4–8 years of experience as a GCP Data Engineer.

Benefits

• Pay Range: $55.00hr - $60.00hr