Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
About SiiRA
SiiRA is a growing global organization that connects top-notch digital professionals with US-based companies in digital growth mode. We believe in an agile and sustainable workspace that promotes access to worldwide talent and drives enterprise growth. SiiRA builds and fosters remote and competent teams that make the most of your expertise and skills.
About the Role
We’re looking for a Data Engineer with strong experience in large-scale data environments to design and scale modern data platforms on Google Cloud Platform (GCP). This role requires hands-on expertise in building high-performance data pipelines and working closely with data scientists and analytics teams.
Responsibilities
- Design, build, and maintain scalable data pipelines (batch and real-time)
- Develop and optimize data architectures on Google Cloud Platform (GCP)
- Work with tools such as BigQuery, Google Storage, Cloud Composer, and Cloud Functions
- Build and manage data transformation workflows using dbt
- Integrate data from multiple structured and unstructured sources
- Design and maintain conceptual and logical data models (ERDs, schemas)
- Ensure data quality, governance, security, and compliance
- Monitor and optimize pipeline performance, reliability, and cost
- Collaborate with data scientists and analysts to prepare datasets for analytics and machine learning
- Support the development and deployment of ML pipelines and data products
- Implement and manage real-time data streaming using Google Cloud Pub/Sub
- Troubleshoot data issues and continuously improve system performance
Qualifications
- 10+ years of experience in data engineering and data modeling
- 3+ years working with large-scale big data environments (100TB+)
- Strong expertise in: SQL and Python, Data modeling (ERD, schema design), Data pipeline design and optimization
- Hands-on experience with GCP (recent 3–5 years), including: BigQuery, GCS, Cloud Functions, Composer
- Experience with dbt in production environments
- Strong understanding of modern data stack technologies (last 2–3 years)
- Experience working with Data scientists, Data analysts, Cross-functional engineering teams
- Knowledge of data mining, segmentation, and statistical analysis techniques
- Familiarity with data visualization tools
Our Culture
At SiiRA, we cherish diversity, equity, and inclusiveness. Our priority is that you feel respected and appreciated. As leaders and partners across industries, we strive to cultivate an environment reflective of our greatest asset: our people.
Key skills/competency
- Data Engineering
- Google Cloud Platform (GCP)
- Data Pipelines
- BigQuery
- SQL
- Python
- Data Modeling
- dbt
- Data Architecture
- Real-time Data Streaming
How to Get Hired at SiiRA
- Tailor your resume: Highlight your 10+ years of data engineering experience, GCP expertise, and SQL/Python skills. Quantify achievements in large-scale data environments.
- Showcase GCP proficiency: Emphasize hands-on experience with BigQuery, GCS, Cloud Functions, and Composer. Mention dbt production experience.
- Demonstrate collaboration: Provide examples of working with data scientists, analysts, and cross-functional teams.
- Prepare for technical interviews: Be ready to discuss data modeling, pipeline design, and real-time streaming concepts.
- Express remote work readiness: Highlight your ability to thrive in a remote, global team environment.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background