Must Have: Snowflake Databricks SQL Python ADF PySpark Data Warehouse Concepts Job Description: 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 who is comfortable working with business users along with business analyst expertise in understanding Banking and Capital Markets; especially in investment banking would be a big plus. Strong Database fundamentals are a must along with PySpark coding 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 programs in the Databricks environment to process and analyze large volumes of data. Experience with Delta Lake, DWH, Data Integration, Cloud, Design, and Data Modeling. Proficient in developing programs in Python and SQL. Experience with Data Warehouse dimensional data modeling. Work with event-based/streaming technologies to ingest and process data. Work with structured, semi-structured, and unstructured data. Optimize Databricks jobs for performance and scalability to handle big data workloads. Monitor and troubleshoot Databricks jobs, 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. Skills: 5+ years of Python coding experience. 5+ years of SQL Server-based development of large datasets. 5+ years of experience with developing and deploying ETL pipelines using Databricks PySpark. Experience in any cloud data warehouse like Synapse, BigQuery, 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. Experience with cloud-based data architectures, messaging, and analytics. Cloud certification(s). Strong experience in code optimizations and performance tuning. #J-18808-Ljbffr
Job Title
Data Engineering Lead and Data Engineers