Senior Data Analyst
2 weeks ago
This Senior Data Engineer will need to have a successful history of data analysis, design, implementation and production deployment in critical, multi-business environments. This role will work closely with various Digital Product Insights, Analytics, Intelligence, Operations and Support teams in a highly collaborative environment to ensure that all types of data is securely collected, structured, and made accessible to support analytics, reporting, and insight generation. This data engineer will need to have strong experiences with Data Analysis, ETL, Data Warehousing, Data Architecture, Data Modeling, SQL, RDBMS and Big Data engineering. This data engineer is expected to design, implement, deploy, and support automated data pipes from various source systems to one or more target systems. Beyond technical capabilities this role will need to take diverse and changing requirements and turn them into actionable plans and deliver within a timely manner and within budget. The ideal candidate will have had experience in the high paced, high-energy startups as well as experience in the structured world of larger companies. The ideal candidate will also have experience applying Agile methodologies to the SDLC process.Essential Functions:Review business requirements with project teams to propose and produce technical documentation such as dataarchitecture, data modeling, data dictionary, source to target mapping with transformation rules, ETL data flow design, and test cases.Discover, explore, analyze and document data from all source and target systems to better understand the total scope of Data Availability at JPMC.Participate in the Agile development process to develop automated data pipes.Optimize queries, data aggregations, and data pipes and improve data models in order to optimize and improve data delivery performance.Collaborate with Operations, Platform, and DBAs teams to test and deploy implementations into Production and provide Production support as needed.Collaborate with other data engineers to provide development coverage, support, and knowledge sharing and mentoring of junior team members.Escalate issues and concerns as needed.8 years of experience working in a technical environment as an engineer or developer.5 years of hands-on experience with data architecture, data modeling, database design and data warehousing.5 years of hands-on experience an ETL tool like Pentaho, DataStage, Informatica, or Ab Initio.5 years of hands-on experience with SQL development and query performance optimization.5 years of hands-on experience with data mining and data analysis.5 years of hands-on experience with unix shell scripting, Perl, and Python. Scala is a plus.5 years of hands-on experience with traditional RDBMS such as Oracle, DB2, MS SQL and/or PostgresSQL.2 years of hands-on experience working with Hadoop Hive, Sqoop, HDFS, and Control-M.Experience with Agile (Scrum) methodologies.Excellent critical thinking, verbal and written communications skills.Strong estimating, planning and time management skills.Strong understanding of Big Data and open source technologies.Ability and desire to thrive in a proactive, highly engaging, high-pressure, customer service environment.
Qualifications
Bachelor's in Computer Science/Engineering, Statistics, Math, Physics, related quantitative degree or equivalent work experience.Must have a passion for Data, structured or unstructured.All your information will be kept confidential according to EEO guidelines.
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