
Data Engineering Professional
17 hours ago
We are seeking a highly skilled Data Engineering Expert to join our team.
- Design, deploy and manage ETL processes using Informatica and other tools to integrate data from various sources.
- 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.
- 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.
This is a full-time role offering competitive compensation and benefits.
Good to Have:
- 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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