Talenture is the parent company for a select number of multi brand HR solution providers. The services offered by our brands fall into the broad categories of temporary staffing, permanent placement, career transition and talent development, as well as outsourcing and consulting. Talenture is responsible for the mid as well as back office and infrastructure ...
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Create and enforce policies for effective data management
Work closely with both IT and the business units to optimize and maintain this data warehouse
Design and build scalable, robust, and efficient data infrastructure to support our data needs.
Develop and maintain ETL pipelines to move data from various sources into our data warehouse
Develop and maintain database schema, data models, and data dictionaries
Work closely with data scientists, analysts, and business stakeholders to understand data requirements and provide solutions
Develop and enforce data quality standards and best practices
Lead a team of data engineers and provide guidance and mentorship to junior team members
Keep up-to-date with the latest trends and technologies in data engineering and recommend new tools and solutions as appropriate
Design and maintain the data governance framework of the bank
Adopt best practices in data integrity, test design, analysis, validation, and documentation
Develop standards of operation when handling and archiving data
Integrate up-and-coming data management and data engineering technologies into existing data structures
Develop set processes for data mining, data modeling, and data production.
Collaborate with senior members of DAO team on all projects and goals.
Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the data warehouse life cycle phases to design an integrated, quality analytics service to address business requirements, including Azure, Hadoop, and other cloud-based products
Regularly assess system performance and make recommendations for hardware, software, and data storage improvements
Maintain and monitor the Data Quality Index (DQI)
Design and deliver project(s) to clean bank’s data and ramp up DQI score
Evaluate and standardize data input across data platforms of entry
Recommend different ways to constantly improve data reliability and quality
Provide technical/team leadership to the Data Management & Platforms team
Troubleshoot operational data-quality issues and implement solutions
Perform other duties as may be assigned by the Chief Data & Analytics Officer (CDAO)
Requirements
Minimum education level –First degree with Minimum of Second (2nd) Class Lower in Computer Science, Information Technology, or a related field.
At least 7 years of experience in data engineering, database management, and ETL processes
Strong proficiency in SQL and database technologies (e.g. PostgreSQL, Oracle, MySQL, etc.)
Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics, etc.)
Experience with at least one ETL tool (e.g., Talend, Apache Nifi, AWS Glue, etc.)
Experience with data modeling and schema design
Familiarity with at least one programming language (e.g., Python, Java, Scala, etc.)
Excellent problem-solving skills and attention to detail
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