
Data Infrastructure Specialist
2 days ago
About the Role
We are seeking a skilled Data Engineer to join our team. As a key member, you will be responsible for designing and implementing our data warehouse architecture. Your primary goal will be to unify data from various platforms, ensuring seamless integration and enabling data-driven decision-making across teams.
Key Responsibilities:
- Design and develop a unified data warehouse to centralize information from internal systems and IoT device streams.
- Create robust ETL/ELT pipelines to process large volumes of structured and unstructured data.
- Validate, monitor, and alert on data inconsistencies across systems, ensuring high-quality data.
- Integrate business intelligence tools, such as Tableau or Power BI, to provide real-time dashboards and reporting for internal teams.
- Develop scalable data models to support analytics, reporting, and machine learning initiatives.
- Collaborate with developers, product managers, and business teams to define data needs and deliver insight-driven solutions.
Your Skills and Experience
To succeed in this role, you should have:
- A minimum of 3 years of experience as a Data Engineer, Analytics Engineer, or similar role.
- Deep expertise in building data pipelines and warehouses (e.g., BigQuery, Redshift, Snowflake).
- Fluency in SQL and proficiency in data modeling, ETL frameworks (e.g., dbt, Airflow, Fivetran).
- Strong knowledge of APIs, webhooks, and third-party integrations (e.g., Shopify, Recharge).
- A proven track record of successfully integrating BI tools (e.g., Tableau, Power BI, Looker).
- Familiarity with cloud platforms, such as AWS or GCP.
What We Offer
As part of our team, you can expect a dynamic work environment, opportunities for growth and development, and the chance to work on challenging projects that make a real impact.
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