Job Description
Responsibilities:
• Deliver Data Extraction & Load, Data Profiling & Analysis, Data Mining, and data synthesis activities, Data Masking & Depersonalisation. Must know the ETL process and some tools for ETL/Masking
• Deliver data assurance and control processes alongside SMEs within Data Team, producing strategic artifacts, and maintaining up-to-date processes and repositories of key content.
• Own and manage program/initiative assigned work streams and report into test data leads on progress/delivery
• To support the Data Management team through the creation of required artifacts (scripts, guides, due diligence, best practice, KPIs and Dashboards, etc.)
• Ensure working practices are within the Bank’s policies and procedures.
• To become an SME in the delivery and use of Test Data Management (TDM) tools, including but not exclusively: Masking solutions (Hadoop Platform, Ab Initio, Informatica, Python and Perl, and PL/SQL scripts), data virtualization, automation (Selenium, Cucumber, Gherkin, Load Runner, RIT), Tivoli Workload Scheduler, etc., Batch Run, Data Copy within Mainframe Testbeds, Online and RDBMS Database technologies (Oracle, SQL, IMS, DB2, Tandem),
Qualifications/ Skills:
What we’re looking for:
• Data SME with hands-on experience of Test Data Management (TDM) tools, including but not exclusively related to Masking, Profiling, Data Virtualisation, Data-subsetting and Test Data Generation (Ab-Initio, Delphix, Starburst, Immuta, Informatica etc.)
• Hands-on experience of programming languages/scripting: SQL, PL/SQL, Perl, Python, Java, UNIX Shell Scripting etc.
• Experience delivering data augmentation solutions demonstrating strong analysis skills and understanding of regular expressions, use of functions/sub-programmes etc.
• Working knowledge of DevOps principles and procedures using automation tools to drive Automation of Data Management Services and Controls. DevOps Tools (configuration and usage) experience is nice to have.
• Working knowledge & experience on UNIX/LINUX is also recommended.
Skills that will help you in the role :
• Knowledge and experience of the complexities of data flow across transaction cycles, business units, and within a bank’s legal entities is highly advantageous (i.e., customer journeys and data lineage across core data entities)
• Domain knowledge and experience in one or more core banking domains and product platforms/systems such as Corporate and Payments banking, accounting and clearing, general ledger, etc.
• Experience navigating and implementing complex control and governance frameworks and ensuring solutions adhere to and are compliant with a bank’s Policies and Standards.
• The role requires an experienced, high-caliber lead with good technical engineering skills / digital product knowledge in the finance industry to work with business stakeholders and key suppliers to deliver data solutions to agreed time, quality, and cost parameters.
• Taking proactive steps to maintain skills in relevant specialist areas, and continuously broadening knowledge of systems and technologies used within Barclays Group.
Key Skills
Other Details
About Company
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Mondelez International
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Mumbai City, Maharashtra
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United Airlines
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Baker Hughes
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Mumbai City, Maharashtra
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ACI Worldwide
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Pune, Maharashtra
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Texas Instruments
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NCR Corporation
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Hyderabad, Telangana
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Chennai, Tamil Nadu
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Maruti Suzuki India Limited
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Rohtak, Haryana
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Gurgaon, Haryana
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Pune, Maharashtra
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Pune, Maharashtra
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Parallel Wireless
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Bangalore, Karnataka
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Thomson reuters
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Hyderabad, Telangana
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Universal Electronics
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Bangalore, Karnataka
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Universal Electronics
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Gurgaon, Haryana
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Thomson reuters
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Bangalore, Karnataka
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Thiruvananthapuram, Kerala
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3-4 yrs Exp.
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Pune, Maharashtra
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Pune, Maharashtra
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Pune, Maharashtra
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Noida, Uttar Pradesh
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Pune, Maharashtra
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