job summary:
Looking for a senior candidate - 10+ years of experience. Candidates should have hands-on experience with Db2 development - NOT looking for a DBA. Should also have good data modeling skills. Experience with performance engineering is a plus. Ideal candidates will have 10+ years of experience tuning different types of data platforms on Db2. Python and Shell Scripting with Linux are also helpful skillsets. NOT looking for business users of data - need a hands-on technologist - "What analytics have you done?", "Can you code in Db2?".
location: Pennington, New Jersey job type: Permanent salary: $150,000 - 185,000 per year work hours: 9am to 5pm education: Bachelors
responsibilities:
· This job is responsible for driving efforts to develop and deliver complex data solutions to accomplish technology and business goals.
· Key responsibilities include leading code design and delivery tasks with the integration, cleaning, transformation and control of data in operational and analytical data systems.
· Job expectations include liaising with vendors and working with stakeholders and Product and Software Engineering teams to implement data requirements, analyzing performance, and researching and troubleshooting issues within system engineering domains.
· A series of strategic projects and regulatory projects (examples, Strategic Risk and PnL [SRPL], Fundamental Review of the Trading Book [FRTB]) in global markets risk area would require senior data modeler with data modeling, data dictionary, data analysis skills.
· This experienced data professional should be able to interpret business requirements, high level data flows and convert into data elements and data models.
· The person should be a self-starter and passionate about business data modeling.
· The risk data modeler would work in a data horizontal team that are responsible for database architecture, database platforms, data models, performance engineering and database platform related security vulnerabilities across Global Market Risk Technology (GMRT) and Counterparty Credit Risk Technology (CCRT).
· The risk data modeler would work closely with the application development teams, business stakeholders, technology infrastructure database administrators to execute projects that are critical to the LOBs and technology partners.
· Leads story refinement and delivery of requirements through the delivery lifecycle and assists team members in resolving technical complexities
· Codes complex solutions to integrate, clean, transform, and control data, builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, assembles complex data sets, and communicates required information for deployment
qualifications:
- 10+ years of applicable experience
- Data modeling. Familiarity with data modeling tools like Power Designer
- Database knowledge on relational and unstructured data is required. Preferably with RDBMS and Hadoop technologies are - db2, oracle, Sybase, impala, kudu, iceberg etc.
- Data architecture skills like overall data flow management, authoritative data source management, data discovery, data dictionary, data lineage.
- Data engineering skills - building data pipeline, data ingestion / retrieval, building distributed data systems
skills:
Agile Practices,Hadoop,kafka,Apache spark,database platform,impala,analytical data,data analysis skills,data architecture,data dictionary,data discovery,data sets,data ingestion,data lineage,data management standards,Data Management,data pipelines,data pipeline,data flows,data flow,data structures,data solutions,data transformation,database,database platforms,Database knowledge,DevOps Practices,distributed data,db2,data engineering,information systems,information technology,metadata,oracle,performance tuning,Perl,python,RDBMS,SQL,scripting,Software Engineering,application development,system requirements,Sybase,system engineering,test reports,unstructured data,Analytical Thinking,Business Acumen,Decision Making,committed,leadership,resilience,self-starter,Collaboration,thinking outside the box,architecture,business data,business needs,business requirements,caring,Counterparty Credit Risk,data modeling,data models,data quality,Data Quality Management,database administrators,Financial Management,innovation,internal controls,Global Market,global markets,key performance indicators,financial,finance,Mentors,modeling,performance engineering,researching,Risk,risk management,Solution Delivery,technology infrastructure,Risk Technology,Test Engineering,develop test plans,Trading,triage,security vulnerabilities
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.