• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 8th Oct 2022

• Create and maintain Master data Solution using Reltio MDM.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.

• Build Data Quality capabilities for profiling, cleansing and standardizing Master and Reference data from multiple diverse Business systems

• Build and Maintain Data Quality dashboards

• Align with industry leading technology standards to develop solutions capabilities

• Keep our data secure while building data products to derive business insights from the data

• Work with data and analytics experts to strive for greater data quality maturity in our data systems

• Communication with internal team members and stakeholders in other time zones for the purpose of requirements clarification and progress reporting

Requirements:

• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Hands on experience in implementing Industry leading MDM solution capabilities for Entity Management, Hierarchy Management, Data Cleansing, Match and Merge, etc

• Hands-on experience with data modeling (logical, physical data models) and Meta-data.

• Hands-on Experience with data quality management capabilities and analysis

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Experience with Industry standard MDM solutions like Reltio.

• Build processes supporting data transformation, data structures, metadata, dependency and workload management.

• Working knowledge of message queuing, stream processing, and highly scalable big data data stores.

• Knowledge of data governance practices, business and technology issues related to management of enterprise information assets, and approaches related to data protection.

• Knowledge of DQ Process and Procedures such as Define, Discovery, Profiling, Remediation, and Monitoring

• Experience supporting and working with cross-functional teams in a dynamic environment.

• We are looking for a candidate with 8-10 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with Industry leading MDM Data Quality tools.

• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

• Experience with object-oriented/object function scripting languages: Python, Java