Senior Data Engineer
Core
Creating and maintaining knowledge materials for MSP customer delivery, acting as a trusted advisor to solve technical challenges using GCP technologies, and managing data infrastructure to support analytics and reporting.
Role type
Senior Data Engineer (Managed Services)
Builds
Managed service processes, automated data pipelines, and data models for client projects
Domain
Cloud Infrastructure (GCP) and Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Python (Pandas, NumPy, Airflow), SQL (BigQuery), Data Pipeline/ETL/ELT design, Data Wrangling, Version Control (Git), Dashboarding (PowerBI, Looker, Tableau), Cloud Platform expertise (GCP)
Preferred skills
Client-facing experience, Mentoring junior team members, Process improvement
Technologies
Google Cloud Platform (GCP), BigQuery, Apache Airflow, Pandas, NumPy, PowerBI, Looker, Tableau
Responsibilities
Maintain automated data pipelines for ingestion, ETL, and storage; Monitor and maintain data infrastructure for availability and performance; Investigate and resolve data platform issues; Collaborate with customers to scope and plan implementation of changes; Document and implement managed service processes aligned with technology stacks; Mentor colleagues on best practices and delivery processes.
Seniority
Senior, hands-on IC with client-facing responsibilities
