Enterprise Data Engineer
Scrips Inc. Ltd, United Arab Emirates
Job Description
The Enterprise Data Engineer is a key interface in operationalizing data and analytics that provide business insights management needs. The role will collaborate with Scrips data scientists, financial and clinical analysts and other data consumers, to integrate models and algorithms developed by them for favorable clinical outcomes.
The role will be part of the Enterprise Data Services team within Scrips IT. S/he will collaborate with other IT teams, including BI, to ensure data solutions are designed optimally, perform at maximum throughput and produce results business expects. Enterprise Data Engineer will also assist in issue resolution, in assessing, measuring and tracking data quality, and in extending the scope of enterprise data warehouse and analytics program.
The role will ensure compliance with data governance and security, ensuring anonymized data access, integrated data reuse and vastly improved time-to-solution for Scrips’s data and analytics initiatives. The data engineer will be measured on his/her ability to integrate analytics and data science results with Scrips’s business processes.
RESPONSIBILITIES:
- Help analyze Scrips’ master and transaction data to understand how it is created, maintained, and used in financial, clinical, operational, and analytical reporting.
- Work with business stakeholders to identify critical data elements and how they relate to each other.
- Assist in the development of large-scale data structures and processes to organize, collect and standardize data that helps generate insights and addresses reporting needs.
- Apply understanding of key business drivers to design algorithms, logic and models for key data domains.
- Work with the Enterprise Architecture group to understand data generating and consuming processes and design data flows that follow them.
- Work with Integration Analysts to document data flows within point-to-point interface architecture.
- Assist in drafting and communicating MDM and API-based future data integration strategy and vision.
- Work with internal/external stakeholders to secure data access ensuring Scrips’s data governance policies are strictly followed.
- Create and maintain appropriate level of system and user documentation.
- Help maintain data dictionary for all business-critical data domains.
- Help capture business rules that govern how data is transformed, integrated and used.
- Identify and help define reactive and proactive alerts and controls to maintain data quality, and for audit reporting.
- Develop relevant value metrics and tools to measure and track data quality.
- Identify data inaccuracies (duplicates, incomplete info., inconsistencies etc.) and engage appropriate business teams to address cross-functional data issues and impacts.
- Record, respond and help resolve data issues in a proactive manner.
- When reacting to data issues, conduct root cause analyses to ensure the issue does not recur.
- Develop anticipated queries, reports and related documentation for business communication of both issues and their mitigation.
- Ensure data standards are followed.
Requirements
- Minimum of bachelor’s degree (Computer Science, Mathematics, Statistics, Engineering preferred)
- Advanced degree in Applied Mathematics, Business Analytics, Statistics, Computer Science, or Data Science is a plus
- 4 years of experience implementing Data Management solutions or as Data Analyst/Data Architect/Business Systems Analyst
- Must have a good understanding of Healthcare (Payer, Patient, Care Provider) data models and systems
- Knowledge of HC Industry trends such as ACO, HIX, HIE and HC industry solution models (HL7, HIPAA) a definite plus
- Mid-level IT resource with a broad understanding of Database Design and Data Analysis approaches and implementation methodologies
- Ability to work with the business as well as IT stakeholders
- Experience in large operational and analytical data environments
- Demonstrated experience in data analysis, database design, and performance tuning
- Advanced technical skills with proficiency in SQL coding (Teradata, SQL Server, and/or Oracle), Tableau and/or Datawatch, Looker, R, Python
- Hands-on experience with tools such as SQL Server Management Studio and Oracle SQL Developer
- Working knowledge of Talend ETL and other utilities such as MDM is a definite plus
- Experience with Agile/Scrum is valuable
- Ability to work creatively and analytically in a team environment
- Excellent communication and documentation skills
Benefits
- Training amp; Development
- Work From Home
- Performance Bonus