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1 week ago
We are seeking an experienced Data Integration Specialist to design, deploy and manage ETL processes for integrating data from various sources.
The successful candidate will be responsible for creating efficient and scalable data pipelines using Informatica and other tools. Daily tasks include querying, optimizing and managing data across systems, implementing and optimizing data models following data warehousing concepts and developing automation scripts using Python.
- Design, develop and maintain ETL pipelines 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.
- 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.
- Exposure to MLOps pipelines or integration with machine learning models.
- Knowledge of other cloud platforms (AWS/Azure) and their data engineering services.
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