Google Cloud Platform Data Lead
HPTech Inc.
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Job Details
Skills
- Regulatory Compliance
- Google Cloud Platform
- Microsoft Azure
- Good Clinical Practice
- Microservices
- Reporting
- Microsoft SQL Server
- Performance Tuning
- Python
- Extract, Transform, Load
- Google Cloud
- SQL
- Data Warehouse
- Database
- GCS
- Git
- Scrum
- Data Processing
- Data Quality
- Data Security
- Data Engineering
- Data Flow
- Data Modeling
- Cloud Storage
- Clustering
- Collaboration
- Apache Beam
- Artificial Intelligence
- Cloud Computing
- Agile
- Amazon Web Services
- Analytics
- ELT
- Stored Procedures
- Version Control
- Workflow
Summary
Job Title/Role: Google Cloud Platform Data Lead
Location: Nashville, TN - Remote
W2 Contract Only
Mandatory Skills: AI Data Engineering, MS SQL, Python, Big Query, Dataflow, Microservices, Cloud
Job Summary:
We are seeking an experienced Google Cloud Platform Data Engineer with strong expertise in MS SQL Server, Python, Google BigQuery, and Google Cloud Dataflow to design, develop, and maintain scalable cloud-based data solutions.
The ideal candidate will be responsible for building data pipelines, optimizing data processing workflows, and supporting enterprise analytics and reporting requirements.
Key Responsibilities:
Design, develop, and maintain scalable ETL/ELT pipelines using Google Cloud Platform 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 Google Cloud Platform.
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.
Required Skills:
Strong experience in MS SQL Server (SQL, Stored Procedures, Views, Functions, Performance Tuning).
Proficiency in Python for data engineering and automation. Hands-on experience with Google BigQuery.
Experience developing data pipelines using Google Cloud Dataflow (Apache Beam).
Knowledge of Google Cloud Platform 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.
Other Requirements
1.Certification in AWS Certified Solutions Architect or Azure Solutions Architect is preferred.
- Dice Id: 91162806
- Position Id: 9087164
- Posted 12 hours ago
Company Info
About HPTech Inc.
HPTech Inc has grown to become a premier provider of IT consulting services for technology. With a specialized niche in transaction and data warehousing applications, HPTech Inc helps clients implement mission-critical, enterprise solutions, speed conversion from legacy environments, and optimize the benefits inherent in their systems. Our consulting solutions range from project strategy and planning, software assessment and selection, to implementation and integration, hosting and change management, support and maintenance translating to higher productivity, lower costs.
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