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4 days ago
Are you a data pipeline specialist with a passion for driving business growth through data-driven insights? As a seasoned ETL Engineer, you will play a key role in designing and deploying large-scale data pipelines to support our business intelligence initiatives.
Key Responsibilities:- Design and Develop Scalable ETL Pipelines
- Work extensively with SQL to query, optimize, and manage data across systems, ensuring seamless data integration and scalability.
- Implement and optimize data models following data warehousing concepts (Star Schema, Snowflake Schema, Slowly Changing Dimensions, etc.).
- Develop automation scripts using Python for efficient data processing, streamlining workflows and reducing manual errors.
- Leverage GCP services (Big Query, Cloud Storage, Dataflow, Pub/Sub, etc.) for seamless data ingestion, transformation, and storage, ensuring high-quality datasets and rapid time-to-insight.
Requirements:
- A minimum of 3-5 years of hands-on experience as a Data Engineer or in a similar role, with a strong background in ETL development and data warehousing concepts.
- Strong proficiency in SQL, including query optimization, stored procedures, and performance tuning.
- Solid experience with ETL development using Informatica and a deep understanding of data warehousing principles.
- Proficient in Python programming for data processing and automation, with a focus on efficiency and scalability.
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