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17 hours ago
Seeking an experienced ETL professional to join our team as a Data Engineer.
The ideal candidate will have hands-on experience in designing, deploying, and managing ETL processes to integrate data from various sources. Key responsibilities include:
• Design, develop, and maintain ETL 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 scalable data solutions and 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 business stakeholders to deliver reliable datasets and insights.
• Monitor and troubleshoot data pipelines to ensure performance and data quality.
• Document data workflows, processes, and standards.
Qualifications- 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.
- Exposure to MLOps pipelines or integration with machine learning models.
- Knowledge of other cloud platforms (AWS/Azure) and their data engineering services.
- Experience with CI/CD tools and containerization (Docker/Kubernetes).
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