Big Data Engineer (Texas)

  • Big Data
  • Hadoop
  • Scala
  • Python

We are looking for a passionate, highly motivated, flexible, organized, and detail oriented Big Data Developer to join our dynamic team.

  • 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 leaders/users, 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 tools/solutions that provide significant value to business teams.
  • Provide oversight on managing and addressing operational data issues by establishing workarounds and/or bringing in cross functional teams to solve the issues in timely manner
  • To qualify for this role, candidates will need to have a minimum of 5 years of significant experience in delivering analytics/reporting solutions including experience in Big data and data lake solutions, strong data management, data engineering specifically big data/Hadoop and traditional data warehousing experience.
  • 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.
  • 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.
  • Strong verbal and written communication skills. Solid organizational skills with focus on accuracy and attention to detail.

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e-Zest is a leading digital innovation partner for enterprises and technology companies that utilizes emerging technologies for creating engaging customers experiences. Being a customer-focused and technology-driven company, it always helps clients in crafting holistic business value for their software development efforts. It offers software development and consulting services for cloud computing, enterprise mobility, big data and analytics, user experience and digital commerce.