Data Warehousing Technologies AWS AWS Directory Services Engineer (Jobs in Tren   Requirement id 136377 Job title Engineer Job location in Trenton, NJ Skills required Debugging Java Applications, Building Data Dictionaries, Data Lake Configuration, Data Warehousing Technologies AWS AWS Di Open Date 14-Sep-2022 Close Date Job type Contract Duration 6 Months Compensation DOE Status requirement --- Job interview type --- Apply    Email Recruiter: coolsoft Job Description Engineer: Debugging Java Applications, Building Data Dictionaries, Data Lake Configuration, Data Warehousing Technologies AWS AWS Di Start date :09/26/2022 End Date :03/01/2023 Submission deadline :9/19/2022 Client Info :DOH Description : The State of NJ is seeking an Cloud Data Engineer that will assist in maintaining, and monitoring infrastructure as well as build or assist in building data transformation pipelines. Candidate must have prior experience with AWS or Azure and extensive knowledge of python for ETL development. Additional Cloud-based tools experience is important (see skills section) Additional desired skills include experience with the following: • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. • Extensive experience leveraging Python to build data transformation pipelines (ETL) and experience with libraries such as pandas and numpy. • Experience with pyspark. • Experience using AWS Glue and EMR to construct data pipelines • Experience building and optimizing big data data pipelines, architectures, and datasets. • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. • Strong analytic skills related to working with unstructured datasets . • Build processes supporting data transformation, data structures, metadata, dependency, and workload management. • A successful history of manipulating, processing and extracting value from large disconnected datasets. • Working knowledge of message queuing, stream processing, and highly scalable big data data stores. • Strong project management and organizational skills. • Experience supporting and working with cross-functional teams in a dynamic environment. • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: • Experience with big data tools: Spark, Kafka,etc. • Experience with relational SQL and NoSQL databases, including Postgres. Experience with data pipeline and workflow management tools: AWS Glue, Airflow,etc. • Experience with AWS cloud services: EC2, EMR, RDS, Redshift • Experience with stream-processing systems: Storm, Spark-Streaming, etc. • Experience with object-oriented/object function scripting languages: Python, Java, etc. . It is a strong possibility for extension beyond the stated date above. This will be 5 days a week onsite immediately. There is the possibility of remote work up to 2 days per week. Please do not submit any candidates that are unable to relocate prior to start of the assignment. The manager prefers Green Card and US Citizens at this point, based on a long term desire to consider this position for employment directly with the State. It is not inevitable, just a possibility a few years in the future. few years in the future.   Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 136377 while calling.   Other jobs in NJ: Edison (2), Englewood Cliffs (1), Ewing (2), Franklin Lakes (7), Hamilton (3), Hightstown (7), Hopewell (2), Jersey City (3), Little Falls (1), Maplewood (1), Mercer County (3), Mount Laurel (11), Mt Laurel (4), New Brunswick (1), Newark (1), Princeton (4), Somerset (9), Trenton (123), Unknown (2), Warren (7), Wayne (1),         (Engineer: Debugging Java Applications, Building Data Dictionaries, Data Lake Configuration, Data Warehousing Technologies AWS AWS Di in Trenton, NJ)

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