
Senior Data Pipeline Specialist
5 days ago
We're looking for a highly motivated Data Engineer to join our team. The ideal candidate has a solid background in data engineering, with experience building data pipelines and warehouses.
Responsibilities:Design and implement the architecture of the company's data warehouse, incorporating data from various sources, including internal systems and IoT devices.
Develop and maintain efficient ETL/ELT processes to handle large datasets.
Guarantee data accuracy and consistency across systems using built-in validation, monitoring, and notification mechanisms.
Integrate Business Intelligence tools such as Tableau, Looker, or Power BI to provide real-time dashboards and reports for internal teams.
Create scalable data models to support analytics, reporting, and machine learning projects.
Collaborate closely with developers, product managers, and business stakeholders to identify data requirements and develop data-driven solutions.
Evaluate and implement best practices for data governance, security, storage optimization, and performance tuning.
Keep an eye on infrastructure performance, ensuring backups, recoveries, and security measures are properly implemented.
Requirements:
- A minimum of 3 years' experience as a Data Engineer, Analytics Engineer, or comparable role.
- Expertise in building data pipelines and warehouses (e.g., BigQuery, Redshift, Snowflake).
- Fluency in SQL, data modeling, and ETL frameworks (e.g., dbt, Airflow, Fivetran).
- Excellent problem-solving skills and effective communication abilities are necessary for success in this position.
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