| Azure Databricks Architect with PySpark and Snowflake at Iselin, New Jersey, USA |
| Email: [email protected] |
| From: Sakchi kumari, Nitya Software solutions [email protected] Reply to: [email protected] Role: Azure Databricks Architect with PySpark and Snowflake exp Location: Iselin NJ / New York 10020 (100% onsite from Day 1) - 100% onsite from Day 1. Please get email confirmation from candidate on onsite for 5 days/week Minimum Exp level : 15+ years Skills: 10+ years - Enterprise Data Management 10+ years - SQL Server based development of large datasets 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Extensive experience in PySpark coding and Snowflake 3+ years Python (NumPy, Pandas) coding experience Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling Good knowledge on Azure Coud and services like ADF, Active Directory, App Services, ADLS etc Hands on experience on CI/CD pipeline implementations Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills Experience with Snowflake utilities such as SnowSQL and SnowPipe - good to have Capable of discussing enterprise level services independent of technology stack Experience with Cloud based data architectures, messaging, and analytics Superior communication skills Cloud certification(s) Any experience with Reporting is a Plus Excellent written and verbal communication, intellectual curiosity, a passion to understand and solve problems, consulting & customer service Structured and conceptual mindset coupled with strong quantitative and analytical problem-solving aptitude Exceptional interpersonal and collaboration skills within a team environment Responsibilities: Design, develop, and deploy Databricks jobs to process and analyze large volumes of data. Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines. 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. Experience designing and developing Enterprise Data Warehouse solutions. Demonstrated proficiency with Data Analytics, Data Insights Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources. Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards. Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines. Optimize Databricks jobs for performance and scalability to handle big data workloads. Education Minimally a Bachelor degree within an Engineering and/or Computer Science discipline Masters degree preferred Keywords: continuous integration continuous deployment New Jersey |
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| Thu Feb 01 22:38:00 UTC 2024 |