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Job Summary:
JCPenney is a chain of American mid-range department stores, and they are seeking a Technical Architect Big Data Analytics to lead the design and implementation of data analytics solutions using cloud architecture. The role involves providing technical leadership, collaborating with cross-functional teams, and ensuring the continuous evolution of best practices within the development team.
Responsibilities:
Lead, develop, build and deliver solutions 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 setting the vision and defining the future Technology architecture. Develop roadmaps of the systems, platforms and/or processes for the company across our Big Data Analytics portfolio.
Provide technical leadership and coaching to other engineers and architects across the organization
Act as expert and point of contact in cross-portfolio business/technology/domain/architecture area
Partner and communicate cross-functionally across the enterprise
Provide the highest level of expertise for the specification, design, development, implementation, and support of Analytical solutions (e.g. Datameer, Hive, Spark, Python, Redshift, Tableau, Snowflake, Microstrategy)
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, optimization, 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
Qualifications:
Required:
10+ years of professional experience
6+ years of experience with Big Data technology and analytics
Proficient in query languages such as SQL, Hive
Proficient in using Big Data tools (e.g., Apache (Spark, NiFi, Sqoop, HBase, HDFS, Spark-SQL, Atlas), NoSQL and relational DBs, Kafka, Datameer)
Proficient in API development and consumption, data modeling, preparation, manipulation, loading and optimization, warehousing techniques and technologies
Proficient in data preparation and manipulation using Datameer tool
Proficient in one or more languages (e.g., PySpark, Python, Scala, Java)
Proficient in Hadoop/Hive, Sqoop and Spark
Experience with SOA, IaaS, and Cloud Computing technologies, particularly in the AWS environment
Experience with ETL and ELT data modeling
Experience with DataHub, DBT, Great Expectation
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
Company:
JCPenney is a chain of American mid-range department stores. Founded in 1902, headquartered in Plano, Texas, USA, team size 10001+ employees, currently Public Company. JCPenney has a track record of offering H1B sponsorships.
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