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ETHEREUM TECHNOLOGIES LLC is seeking a Data Engineer to design, build, and maintain scalable data infrastructure supporting BI, analytics, and ML initiatives. You will optimize data pipelines, work in a cloud environment, and collaborate with product teams to deliver data-driven solutions.
The ideal candidate demonstrates strong Python and SQL skills, hands-on experience with GCP services (BigQuery, Cloud Storage), and proficiency in orchestration tools like Airflow, Cloud Composer or Dagster.
We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment.
Core Responsibilities
Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.
Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics
Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.
Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.
Required Skills & Experience
Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:
BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.
Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub
Programming & Querying:
Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries
SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.
ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract