JCPenney
Overview:
Lead Engineer- Big Data The Lead Engineer Analytics (Advanced Software Engineer) will report to a Senior Manager - Analytics. Using Big Data technology, you will be responsible for designing, developing, implementing and supporting data analytics solutions utilizing cloud architecture. Primary Responsibilities: Lead, build and deliver projects with high impact and cross-portfolio scope, complexity and collaboration with cross-functional teams, both business and technology Identify technical implementation options and issues Play a key role in defining the future Technology architecture and develop roadmaps of the systems, platforms and/or processes for the company across disciplines Provide technical leadership and coaching to other engineers and architects across the organization Act as expert and point of contact in cross-scrum business/technology/domain area Partner and communicate cross-functionally across the enterprise Provide the highest level of expertise for the specification, development, implementation and support of Analytical solutions (e.g. Datameer, Hive, Python, Redshift, Tableau) Explain technical solutions and issues to senior leaders in the company in non-technical, understandable terms Interact with business teams to gather, interpret and understand their business needs and create design specifications Foster the continuous evolution of best practices within the development team to ensure data quality, standardization and consistency Continuously seek Data Lake platform and data ingestion improvement opportunities that ensure optimal use of the environment and improve stability. Lead efforts to implement the solutions. Core Competencies & Accomplishments: 10+ years of professional experience 4+ years of experience with Big Data technology and analytics JCPenney business domain knowledge preferred Proficient in query languages such as SQL, Hive Proficient in using Big Data tools (e.g., Hadoop, NoSQL DB, Hbase) and API development and consumption Proficient in data preparation and manipulation using Datameer tool Experience with one or more languages (e.g., Python, Java) Experience with SOA, IaaS, and Cloud Computing technologies, particularly in the AWS environment Experience with Hadoop/Hive, Sqoop and Spark Experience with ETL and ELT data modeling Experience with data visualization tools like Tableau Experience with continuous software integration, test and deployment Experience with agile software development paradigm (e.g., Scrum, Kanban) Ability to work within a dynamic environment with evolving requirements and capability goals Self-motivated. Capable of working with little or no supervision. Maintains up-to-date knowledge in the appropriate technical areas Strong written and verbal communication. Able to present and hold meetings with key business and technology partners, enterprise architects and vendors. Pay Range: USD $110,000.00 - USD $172,500.00 /Yr.
Lead Engineer- Big Data The Lead Engineer Analytics (Advanced Software Engineer) will report to a Senior Manager - Analytics. Using Big Data technology, you will be responsible for designing, developing, implementing and supporting data analytics solutions utilizing cloud architecture. Primary Responsibilities: Lead, build and deliver projects with high impact and cross-portfolio scope, complexity and collaboration with cross-functional teams, both business and technology Identify technical implementation options and issues Play a key role in defining the future Technology architecture and develop roadmaps of the systems, platforms and/or processes for the company across disciplines Provide technical leadership and coaching to other engineers and architects across the organization Act as expert and point of contact in cross-scrum business/technology/domain area Partner and communicate cross-functionally across the enterprise Provide the highest level of expertise for the specification, development, implementation and support of Analytical solutions (e.g. Datameer, Hive, Python, Redshift, Tableau) Explain technical solutions and issues to senior leaders in the company in non-technical, understandable terms Interact with business teams to gather, interpret and understand their business needs and create design specifications Foster the continuous evolution of best practices within the development team to ensure data quality, standardization and consistency Continuously seek Data Lake platform and data ingestion improvement opportunities that ensure optimal use of the environment and improve stability. Lead efforts to implement the solutions. Core Competencies & Accomplishments: 10+ years of professional experience 4+ years of experience with Big Data technology and analytics JCPenney business domain knowledge preferred Proficient in query languages such as SQL, Hive Proficient in using Big Data tools (e.g., Hadoop, NoSQL DB, Hbase) and API development and consumption Proficient in data preparation and manipulation using Datameer tool Experience with one or more languages (e.g., Python, Java) Experience with SOA, IaaS, and Cloud Computing technologies, particularly in the AWS environment Experience with Hadoop/Hive, Sqoop and Spark Experience with ETL and ELT data modeling Experience with data visualization tools like Tableau Experience with continuous software integration, test and deployment Experience with agile software development paradigm (e.g., Scrum, Kanban) Ability to work within a dynamic environment with evolving requirements and capability goals Self-motivated. Capable of working with little or no supervision. Maintains up-to-date knowledge in the appropriate technical areas Strong written and verbal communication. Able to present and hold meetings with key business and technology partners, enterprise architects and vendors. Pay Range: USD $110,000.00 - USD $172,500.00 /Yr.