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Sr. Data Engineer

Location : Radnor, PA
Job Type : Direct
Hours : Full Time
Required Years of Experience : 5+
Required Education : BS/BA
Travel : No
Relocation : No
Job Industry : Banking - Financial Services

Job Description :

Responsibilities:


·         Build and deliver the analytics infrastructure,  tools, and data assets for marketing reporting and analytics


·         Work closely with the Analytics team to build metrics & advanced dashboards/visualizations to support business objectives like profitability & persistency


·         Build and maintain data transformations (ETL)


·         Create documentation, training materials and lead training sessions for usage by marketing analytics professionals


·         Partner with IT to help develop & implement a business analytic framework for data quality and governance


·         Design, develop and implement data &analytic projects within a Cloud computing environment and utilize Big Data platforms & tools


·         Lead the design, development and delivery of business-centric data & analytic solutions, including large scale data blending, wrangling and integration


·         Implements process improvements to enable simplified, effective, automated, standardized analytical processes


·         Advise management and key stakeholders on design issues, capabilities, and/or system limitations; develops and recommends remediation plans


·          Maintain knowledge on current and emerging developments/trends for assigned area(s) of responsibility, assess the impact, and collaborates with management to incorporate new trends and developments in current and future solutions.




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Required Qualifications :


  • Bachelor’s Degree in Information Technology, Engineering, or a Mathematical discipline; Master’s Degree preferred

  • 5 – 7+ Years Progressive experience in design, development and delivery of business-centric  analytic solutions, including relational databases, data marts, data load processes and reporting applications 

  • Experience and working knowledge in Data Warehouse, ETL, and Hadoop framework concepts



  • 5+ years of experience in analyzing, designing, developing and operationalizing data assets

  • Expertise in data & analytic process automation

  • Strong knowledge of databases and related concepts and hands-on experience in delivery of visualizations, data marts and enterprise data assets

  • Strong technical knowledge and working exposure to a wide array of technology and data stacks in both traditional and big data space (e.g. Oracle, Greenplum, Netezza, Hadoop etc).



  • Knowledge and hands on experience on analytic tools (SAS/SPSS/R), visualization/BI tools (Tableau/Qlik) and data wrangling tools(Alteryx/Datameer) ave an investigative mindset towards data(in-house and public), proactively identify issues & potential value to the team, and operationalize those datasets for analytic use cases


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Skills :
ETL
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