Cloud Data Architect
5 days ago
This is a Cloud Data Engineer position for an enterprise-level system with a background in Python, PySpark, SQL and data warehousing.
The major responsibilities include building and optimizing data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
- Main Responsibilities:
- Create and optimize Spark programs in Databricks environment to process and analyze large volumes of data.
- Design and develop Enterprise Data Warehouse solutions.
- Work with event-based/streaming technologies to ingest and process data.
- Optimize Databricks jobs for performance and scalability to handle big data workloads.
- Implement best practices for data management, security, and governance within the Databricks environment.
- Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.
We are looking for a candidate with 5+ years of experience in Python coding, 5+ years of SQL Server based development of large datasets, and 5+ years of experience with developing and deploying ETL pipelines using Databricks Pyspark.
- Required Skills:
- Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
- Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
- Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
- Cloud certification(s).
Salary: $120,000 - $150,000 per year
About Us:Smart IT Frame LLC is a leading technology company that provides innovative solutions for businesses. We value teamwork, innovation and excellence in our work.
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