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based on 854 Reviews

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Data Engineer

Refinitiv

based on 854 Reviews

8-13 years

Bangalore / Bengaluru

1 vacancy

Data Engineer

London Stock Exchange Group

posted 4hr ago

Flexible timing

Key skills for the job

+ 4 more

Conducting data quality analysis, end to end data reconciliations by profiling the source systems using ETL /SQL (IICS /Matillion/AWS Glue).
Defining the data quality of the sources and lists the data quality metrics of the source systems.
Working on detailed scoping and requirements working with business collaborators, SMEs, Technology Partner organizations and internal CRM Technology and Corporate Technology teams.
Building and maintaining Customer Master and Product Master
Continuously review operating metrics and data to find opportunities to improve.

Tech Profile/Essential Skills

7 years of technical experience.
5 years of experience on data migration using ETL tools.
Able to translate business requirements into data solutions.
Expert level skill on Informatica IICS or Matillion or equivalent ETL tool which covers from extracting the source to building the complex mappings.
Proficient in the use or extract of data from Salesforce .
Expert level skill on Power BI/Tableau
Knowledge of the Salesforce Data modelling is desirable.
Proficient level coding knowledge on Python and SQL.
Understanding of Salesforce concepts is desirable.
Experience with providing technical solutions and supporting documentation.

Preferred Skills and Experience

Must have Experience on Snowflake Storage and Database.
Should have experience of working with Cloud Native based applications using AWS/Azure
Understanding of the SDLC and agile delivery methodology.
Experience working with databases and data, performing data cleanup, and/or data manipulation and migration to and from Salesforce.com.
Ability to work independently and in a team environment.
Ability to communicate effectively in English with all levels of staff, both orally and written.
Ability to handle own work and multitask to meet tight deadlines without losing sight of priorities under minimum supervision.
Highly motivated, self-directed individual with a positive & pro-active demeanor to work.
Customer and service focused, with determination to meet their needs and expectations.
Be driven and committed to the goals and objectives of the team and organization.

Education and Professional Skills

Professional qualification or equivalent.
BS/MS degree in Computer Science, Software Engineering or STEM degree (Desirable).
Solid English reading/writing capability required.
Good communication & articulation skills.
Curious about new technologies and tools, creative thinking and initiative taking.
Agile related certifications preferable.

Detailed Responsibilities

Proficient in data discovery, data migration, data quality analysis, end to end data reconciliations by profiling the source systems using ETL /SQL (IICS /Matillion Preferable).
Analyses the data quality of the sources and lists the data quality metrics of the source systems.
Proficient in MDM and Customer data solutions.
Involved in the Single Customer View and Customer 360 implementations.
Proficient in the data migration strategies for large scale programs
Develops and improves data governance and business data processes within the Technology and business organizations and understands client requirements, specifying and analyzing these to a sufficient level of detail to ensure transparency of definition and ability for technical teams to translate to a technical solution design.
Works with developers, architects, and solution designers to translate sophisticated business requirements and provides feedback on technical solutions proposed.
Responsible for building and maintaining a relationship with business collaborators and impacted users.
Proactively identifies, recommends, and implements improvements to the process as it relates to assigned projects.
Frequently keeps up to date with the latest industry development and technology innovations.
Flexible in approach, adapting plans and strategies to help manage risks around ambiguity.
Strategic problem solver with strong intuition for business and well-versed in current technological trends and business concepts