Job Details

Big Data Engineer

Advertiser
e-Zest Solutions, Inc.
Location
Dallas, Texas, United States
Rate
-
Job Description Responsibilities We are seeking an Executive Advisor, Big Data Engineer to help us build an enterprise strategy around big data and data lake implementation and roll-out across business units. As an Executive Advisor, you will contribute by leading a portfolio of innovative projects that provide differentiated value for a number of business units. One of the key focus areas for data lake strategy is to work with IT to define the data lake architecture and tool sets required to support the different analytic use cases including Data Engineering, BI, and Data Science by bringing in your deep experience, and analyzing tools and technologies available in the market place including on premise, Cloud or Hybrid model. You will define the user adaption strategy and plan and drive the business user adaption of data lake platforms. You will define the best practices around data lake platform for analytical users. You will also define the migration strategy to migrate the analytical applications from the traditional warehouse platforms to Data Lake platforms and execute the strategy to migrate the analytical applications by working with business leadersusers, and IT leaders. You will bring your strong experience in building analytical tools to support analytic discovery projects and rapid prototyping across business cases with a view to reducing the manual effort requiring multiple analysts across business areas to create reports and insights across traditional data warehouse and data lake platforms. We will need you to apply your deep data analytics and technical experience to define common requirements across teams for metrics and KPIs, define data gaps and data road-map based on the business needs. Define project scope based on the road map and work with IT to implement the data solutions, and work with the business to deliver business intelligence toolssolutions that provide significant value to business teams. Provide oversight on managing and addressing operational data issues by establishing workarounds andor bringing in cross functional teams to solve the issues in timely manner Qualification RequiredDesired tech hands-on experience with the following technologies groupedordered by importance To qualify for this role, candidates will need to have a minimum of 10 years of significant experience in delivering analyticsreporting solutions including 5 years of experience in Big data and data lake solutions, strong data management, data engineering specifically big dataHadoop and traditional data warehousing experience. Also experience in working with cross functional business team to understand the business needs to define and manage the data road map. Experience in leading and guiding matrix business and IT teams to co-ordinate rapid prototyping and data discovery, as well as business support for traditional data warehouse and data lake development processes. Ability to meet tight deadlines without compromising on quality of deliverables. Strong verbal and written communication skills. Solid organizational skills with focus on accuracy and attention to detail. Experience with traditional warehouse technologies like Teradata, SQL, BTEQ, BI Tools and Big data technologies Hadoop, Spark, Hive, Hive LLAP, Scala, R, Python, big data on Cloud, and others. Job Type Full-time Salary 30.00 to 60.00 hour

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