GCP Data EngineerLocation: USA (Remote) or NJ-HybridDuration: FulltimeJob Description:Must be willing to have some overlap hours with the India based data engineering team.Must be willing and able to work in a global project environment across multiple time zones.Project is very fast paced with tight deadlines.Technical Skills Required:10+ years of experience in designing and implementing large scale data processing/data storage/data distribution systemsExtensive experience working with large data sets with hands-on technology skills to design and build robust Big Data solutions using Spark framework, GCP Big data services and industry standard frameworksAbility to work with a multi-technology/cross-functional teams and key stakeholders to guide/manage a full life-cycle solutionExtensive experience in Relational and MPP database platforms like (GCP Bigquery/Hive/Cloud SQL etc)Open-source Hadoop stack/Spark frameworkStrong understanding of Big Data Analytics platforms and ETL in the context of Big DataExcellent problem solving, hands-on engineering skills and communication skillsBroad understanding and experience of real-time analyticsParticipate in full Software Development Life Cycle (SDLC) of the Big Data SolutionTechnical Skills Required:Hadoop : HDFS, MapReduce, Hive, AirflowDW : Bigquery, HiveLanguages : Python, PySpark, Shell Scripting, SQL ScriptingCloud : GCP Big data native servicesAny RDBMS/DWBI technologiesSpark (Mandatory): Spark on GCP DataprocRoles & Responsibilities:Position Activities and Tasks:Extensive design and development complex and high-performance Data architecture development experiencesParticipating and leading key engagements, in developing plans and strategies of data management processes and IT programs for the business, providing hands on assistance in data modeling, technical implementation of big data solutions.Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teamsLeading and mentoring other developers within the teamIdentify the performance bottlenecks and resolve the same.Ability to produce high quality work products under pressure and within deadlines.