Data Engineer

SoftShark

- Design, build, and maintain scalable data pipelines that ingest data from multiple internal and external sources into Google BigQuery - Develop and maintain integrations with third-party services and APIs (e.g., CRM, marketing, payment, and analytics platforms), including authentication, rate limiting, and error handling - Model and organize data in BigQuery: design datasets, tables, and partitioning/clustering strategies for performance and cost efficiency - Write, optimize, and maintain SQL transformations that prepare raw data for reporting and analysis - Build and maintain dashboards and reports in Looker Studio, working with stakeholders to define metrics and visualizations - Monitor pipeline health: set up alerting, logging, and data quality checks; investigate and resolve data discrepancies and pipeline failures - Manage BigQuery costs by optimizing queries, storage, and scheduled jobs - Document data sources, pipeline architecture, data models, and metric definitions - Collaborate with product, marketing, and business teams to understand data needs and translate them into technical solutions - Ensure data security and compliance, including access control and handling of sensitive data

- [2–4 / 3–5] years of experience in data engineering, backend development, or a similar role - Strong SQL skills, ideally with hands-on BigQuery experience (partitioning, clustering, scheduled queries, cost optimization) - Proficiency in at least one programming language commonly used for data work, such as Python - Experience building and consuming REST APIs and working with third-party integrations (OAuth, webhooks, pagination, rate limits) - Experience with ETL/ELT concepts and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Functions, Cloud Scheduler, or similar) - Familiarity with Looker Studio (or comparable BI tools) and connecting it to BigQuery data sources - Understanding of data modeling principles (star schema, denormalization for analytics) - Ability to debug data issues independently and communicate findings clearly to non-technical stakeholders

Interested candidates can send their CV to info@softshark.io or apply from our company page https://softshark.io/careers/dataengineer/ Please mention in your application that you have learned about this position from MyJob.am