| IT Manager Big Data Engineering at Remote, Remote, USA |
| Email: [email protected] |
| Hi, Please share the resume for below position IT Manager Big Data Engineering - PA or FL (Talend, Data Modeling, Snowflake, AWS) Attach confirmation candidate is willing to relocate and work in a Hybrid from Pennsylvania OR Florida Please do not resubmit candidates who interviewed in the past with Virtusa Day 1 onsite Hybrid from either 1. Reading Pennsylvania (PA) * 1st preference 2. Tampa Florida (FL) IT Manager Big Data Engineering A minimum of 12 years of progressively responsible experience in Data Warehousing, Information Management, or a directly related area, during which both professional and management capabilities have been demonstrated. A degree in computer science, mathematics, engineering, operations, management, or a related field is required. Minimum five plus years of experience as a leader of a data team in the organization. Significant knowledge of functional areas IOT, Transportation, Finance, Maintenance, Marketing, and HR related to the Leasing & Logistics industry is a big plus. Experience in supporting a wide range of data & analytics initiatives across the company and closely associated with BI & Advanced analytics teams. Exposure to Data Lake, Lake House concepts, and technologies like Snowflake, AWS RedShift, or Databricks. Experience in multidimensional data modeling, logical, physical, and star schemas, snowflakes, and de-normalized models. Experience in handling Big Data, IOT Data, and specifically a variety of Big Data file Formats Avro, Parquet, etc. Experience with data and analytics in one cloud platforms like AWS, GCP, Azure. Experience in Data Engineering tools such as Talend, SAP BODS, Python, PySpark, AWS S3, Glue, Athena, EMR, Kafka or similar tools. Exposure to BI & analytics tools such as Qlik Sense, Sagemaker, SAS Viya, and Dataiku. Experience in handling purposeful database platforms that include Relational, Key-Value, In-Memory, Document, Time series, and Geospatial data stores. Experience with agile software development. Experience with business-driven / self-service BI / Self Service AI. A solid understanding of data security and privacy technologies. A solid understanding of mobile delivery architecture and best practices. Experience with data science, statistical analysis, data mining, and predictive algorithms to support advanced/predictive analytics. Extensive experience interacting with senior leaders and executives. Excellent written and verbal communication skills. Excellent presentation, storytelling, interpersonal, and leadership skills. Experience managing large complex Data Engineering projects and teams across different time zones. Experience in building and supporting Data Engineering/analytics business cases. Proven ability to complete projects and achieve results in an ambiguous work environment. Proven ability to build and motivate a team to achieve the milestones. Knowledge of ITIL concepts and practices. Thanks & Regards Colin Isaac [email protected] Mindgraph : www.mind-graph.com -- Keywords: artificial intelligence business intelligence sthree information technology Delaware Florida Pennsylvania IT Manager Big Data Engineering [email protected] |
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| Fri Jul 19 19:36:00 UTC 2024 |