About the Job

Education:

Master’s or bachelor’s degree in computer science, information systems, or other related field/equivalent workexperience;

Minimum Qualifications of Candidate

a. Experience designing, developing, enhancing, supporting, and maintaining enterprise data solutions, includingdata architecture, data modeling, data quality, data integration, and reporting solutions supporting complex business applications.

b. Experience with relational database design, SQL development, database administration, and performance optimizationusing MySQL and Oracle, including schema design, SQL tuning, indexing, data integrity, and database security. Experience with Microsoft SQL Server, Azure SQL, or comparable relational database platforms is desirable.

c. Experience developing and implementing data quality processes, including data profiling, data validation, datacleansing, data reconciliation, integrity checks, and establishing data quality standards and controls.

d. Experience designing and supporting data integration solutions involving MySQL, Oracle, and other enterprise databaseplatforms, including ETL/ELT processes, data migration, data exchanges, APIs, middleware, and integration between enterprise systems.

e. Experience using database development, administration, monitoring, and DevOps tools, including MySQL tools, OracleSQL Developer, Azure DevOps, GitHub, or similar technologies.

f. Experience implementing database security, access controls, governance practices, and compliance requirementsto ensure the confidentiality, integrity, and availability of enterprise data.

g. Experience with cloud-based data platforms and services, including Oracle cloud technologies, Microsoft Azuredata services, Amazon Web Services (AWS), cloud databases, data lakes, data warehouses, or similar modern data architectures.

h. Experience evaluating, integrating, or developing solutions using artificial intelligence (AI), machine learning(ML), generative AI, large language models (LLMs), retrieval-augmented generation (RAG), intelligent document processing, embeddings, vector databases, NoSQL databases, and similar emerging technologies is highly desirable.



Deliverables/Tasks

a. Knowledge of data architecture, data modeling, database design, data governance, data management, and data lifecycleprinciples.

b. Knowledge of relational database platforms, including MySQL, Oracle, and Microsoft SQL Server, including schemadesign, SQL development, query optimization, indexing, stored procedures, and performance tuning.

c. Knowledge of data quality principles and practices, including data profiling, data validation, data cleansing,data reconciliation, data integrity, and establishing data quality standards and controls.

d. Knowledge of data integration concepts and technologies, including ETL/ELT

processes, APIs, web services, JSON/XML data exchange, middleware, and system integration

e. Knowledge of database security principles, access controls, cybersecurity best practices, and regulatory requirementsrelated to enterprise data.

f. Knowledge of modern data platforms and architectures, including cloud databases, data lakes, data warehouses,NoSQL databases, vector databases, and other emerging data technologies.

g. Knowledge of cloud computing and cloud-based data services, including Microsoft Azure, Amazon Web Services (AWS),Oracle cloud technologies, and similar platforms.

h. Knowledge of artificial intelligence (AI), machine learning (ML), generative AI, large language models (LLMs),retrieval-augmented generation (RAG), intelligent document processing, embedding, and AI-ready data architectures.

i. Ability to analyze business and technical requirements and translate them into effective data solutions and architectures.

j. Ability to communicate technical information effectively and establish effective working relationships with technicalteams, business stakeholders, vendors, and data owners.

Required Skills

• Database Administrator