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Unlock Data Potential: Lead Scalable Data Solutions
3 weeks ago
As a Senior Data Architect, you will be responsible for designing and delivering high-quality data solutions and building scalable, secure infrastructure required for optimal ETL/ELT processes from a wide variety of data sources using SQL, data lake, Databricks technologies.
Key Responsibilities:
- Designing, building, and maintaining scalable and reliable data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses and data lakes.
- Defining and implementing data models, schemas, and architectures that ensure data quality, consistency, optimal performance, integrity, and availability.
- Experience in ETL process implementation, data warehousing, and potentially deploying machine learning models.
- Ability to identify and resolve complex data-related issues, analyze performance bottlenecks, develop creative solutions, and optimize systems for efficiency.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Proficiency in languages like Python, Java, Scala, R, with experience in building and optimizing code for data processing.
- Experience working with cloud Data Warehouse solutions such as Snowflake, Redshift, BigQuery, Azure.
