
Data Pipeline Architect
2 days ago
Job Title: Data Pipeline Architect
Description:
We are seeking an experienced professional to architect and develop scalable data pipelines that integrate data from various sources.
Responsibilities:
- Design, develop, and maintain data pipelines using Informatica and other tools to process and transform large datasets.
- Work extensively with SQL to query, optimize, and manage data across systems.
- Implement and optimize data models following data warehousing concepts (Star Schema, Snowflake Schema, Slowly Changing Dimensions, etc.).
- Develop automation scripts using Python.
- Leverage GCP services (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.) for data ingestion, transformation, and storage.
- Collaborate with data analysts, data scientists, and stakeholders to deliver reliable datasets and insights.
- Monitor and troubleshoot data pipelines to ensure performance and data quality.
Requirements:
- 3–5 years of hands-on experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL (query optimization, stored procedures, performance tuning).
- Solid experience with ETL development using Informatica and strong knowledge of data warehousing concepts.
- Proficient in Python programming for data processing and automation.
- Practical experience working with GCP services, especially BigQuery.
- Understanding of data governance, data quality, and performance best practices.
- Strong problem-solving skills and the ability to work in a collaborative team environment.
Benefits:
Achieve expert-level efficiency by utilizing cutting-edge technology stacks.
Pursue innovative solutions to complex problems.
Learn and grow with a dynamic team of experts.
Gain real-world experience with industry-leading platforms.
Cultivate expertise in cloud-based data engineering services.
Expand your professional network within the field.
Stay up-to-date with the latest industry trends and technologies.
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