Start Date
Immediate
Expiry Date
13 Sep, 25
Salary
0.0
Posted On
13 Jun, 25
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Information Technology/IT
Industry Experience: 2 Year+
Desired Skills:
• Modelling Tools - Erwin, Power Designer, MS Visio • Scripting Languages - PL/SQL, T-SQL, R, Power Query, DAX, MDX • Business Objects (OLAP): Business Object, BO Supervisor, Designer, Reporter and Web Intelligence • MapReduce, Pig & Python • ETL Tools – BODS, Informatica SQL Analyzer – SQL, PL-SQL • Database Technologies - Oracle, DB2, Netezza, SQL Server, HDFS, HBase, Hive, Impala • Algorithms Development / Problem Solving and Data Flow Resolutions using Programming languages like Python database scripting languages.
Desired Experience:
• Experience in data Processing with also experience in designing and implementing Data Mart applications, mainly transformation processes using ETL tools. • Experience of working on medium to large size data warehousing development or data reporting and MI life cycle projects. • Experience of working on data migration projects, or been involved in supporting data side of the migration’s life cycles. • Some experience with ETL methodology for designing and developing extraction, transformation and load processes in dynamic, high-volume data environments. • Experience of modelling of Databases for data warehouse implementing Star Schema and Snow Flake Schema. • Experience in code specifications and OLAP Analysis and Design. • Experience of using Business Object and creation of Universes, creation of reports and Info views • Knowledge and experience of SSIS / SSRS / SSAS • Experience of solving technical problems related to data. • Experience with data profiling and data classification exercise • Experience in Data cleanse approach and tools, automation of the manual data cleanse logics. • Experience of analysing data sets to determine optimal way to aggregate and report on it.
Qualifications:
Bachelor Degree (preferred in Computer Science or Mathematics or Statistics) or A Levels with Mathematics with a Certificate or Diploma in Structures Programming Languages or Relational or Non-SQL Databases.
Duties:
• Work on data centric projects, like Data Migrations or Data Cleanse Projects. • To automate the data cleanse routines or to automate the data generation as required for projects during data migrations, or testing and performance testing scenarios. • To work with Architects & Solution Designers to understand the detail of the designed solutions and develop the data requirements using different programming languages and tools. • Working on data obfuscation and data de-duping as per project requirements. • To work closely with Data scientists and Data analysts for development of the data sets they need for their research and investigations. • Assist Data science team with development of solution logics and algorithms for given data problems. • Using programming scripting and tools, automating and reducing the manual effort of data entry process and working on data loads. • To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays. • Highlight any risk and issues to development completion timelines to PMO team. • To work with co-team members and developers and support System Integration Testing. • Unit Testing the Code fixing the data-oriented defects identified during SIT and UAT and other testing phases. (important one)
Note: Candidates who doesn’t have the ‘right to work in UK’, because their right to work status has changed due to Brexit Rules from 1st Jan 2021 or candidates residents of other countries, which need UK work-permits to work in UK can also apply, as workpermit sponsorship will be considered for the right candidates.
please apply by sending your cv at careers@computewell.co.uk by mentioning the job title in the subject of the email
How To Apply:
Incase you would like to apply to this job directly from the source, please click here
Please refer the Job description for details