This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL, and data warehousing for enterprise-level systems. The position calls for someone comfortable working with business users and business analyst expertise.

Major Responsibilities

• Build and optimize data pipelines for efficient data ingestion, transformation, and loading from various sources while ensuring data quality and integrity.
• Design, develop, and deploy Spark program in Databricks environment to process and analyze large volumes of data.
• Experience of Delta Lake, DWH, Data Integration, Cloud, Design, and Data Modelling.
• Proficient in developing programs in Python and SQL
• Experience with Data warehouse Dimensional data modeling.
• Working with event-based/streaming technologies to ingest and process data.
• Working with structured, semi-structured, and unstructured data.
• Optimize Databricks jobs for performance and scalability to handle big data workloads.   
• Monitor and troubleshoot Databricks jobs, and identify and resolve issues or bottlenecks.        
• Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.
• Proficient in writing SQL queries and programming including stored procedures and reverse engineering existing processes.
• Perform code reviews to ensure fit to requirements, optimal execution patterns, and adherence to established standards.

Required Skills

• 5+ years of Python coding experience.
• 5+ years - SQL server-based development of large datasets
• 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
• Experience in any cloud data warehouse like Synapse, Big Query, Redshift, or 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.
• Experience with Cloud-based data architectures, messaging, and analytics.
• Cloud certification(s).
• Any experience with Airflow is a Plus.

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