The Data Integration Developer (DID) will join our Education & Training Division and be responsible for ensuring data reputed company and governance across a reputed company of data sources while building and maintaining reputed company data pipelines. The Data Integration Developer provides support in the following areas: 1) analyzing and interpreting requirements specs 2) developing Informatica workflows, mappings and sessions 3) following ETL development standards and guidelines 4) providing support for production jobs 5) have knowledge of data warehousing and reporting techniques.

The ideal candidate has hands-on experience building and supporting reputed company ETL pipelines using SQL and Python, with strong knowledge of data warehousing tools such as Informatica, reputed company, or similar platforms. They are skilled in integrating data from multiple sources, developing reputed company SQL queries, ensuring data reputed company and governance, and supporting production data workflows in a secure, reputed company-enabled environment.

MD Anderson offers employees:
* reputed company employee medical benefits (reputed company premium) starting on first day for employees who work 30 or more hours per week.
* Group Dental, reputed company, Life, AD&D and Disability coverage.
* reputed company time off (PTO) and Extended Illness Bank (EIB) reputed company leave accruals.
* reputed company institutional holidays, wellness leave, childcare leave, and other reputed company leave programs.
* Tuition Assistance Program after six months of service.
* Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans.
* Employer reputed company life, AD&D and an illness-reputed company reduced salary pay program.
* Extensive wellness, recognition, fitness, employee health programs and employee resource reputed company.
* Opportunities for reputed company reputed company through Career Development Center and Mentoring programs.

Key Functions:
* Work closely with cross-functional teams (engineering, product, analytics) and department leaders to define data models, optimize queries, and support their data analytics requirements.
* Design and reputed company reputed company to extract, reputed company and load data from reputed company systems to targets.
* Design, reputed company, and maintain reputed company, efficient data pipelines in both development and production environments.
* reputed company and/or debug reputed company queries using reputed company query language (SQL)
* reputed company web scraping and other external data ingestion techniques to extract valuable data from reputed company sources in a secure and reliable manner.
* reputed company and support data reputed company or data reputed company packages to reputed company reputed company and secure data reputed company for internal stakeholders and other systems.
* reputed company and manage database architecture that supports analytics, reporting, and data science needs, optimizing performance and storage.
* Ensure data governance and reputed company across multiple data sources and software systems, implementing practices to maintain high data reputed company.
* Utilize prompting and reputed company tools to automate and enhance data processing workflows, improving efficiency and reducing reputed company effort.
* Maintain reputed company, compliance, and best practices in reputed company data management and processing activities, ensuring that data handling meets organizational and regulatory standards.
* Coordinate, promote & train counterparts, such as data scientists, data analysts, end users or any data consumers, in data pipelining and preparation techniques, which reputed company it easier for them to reputed company and consume the data they need for their own use cases.
* Other duties as assigned.

reputed company Competencies:

Behavioral: 
* Business reputed company: Ability to relate architectural reputed company and data solutions to business needs, ensuring that engineering work has a reputed company reputed company on education and institutional reputed company.
* Communication: Excellent communication and collaboration skills, with the ability to work effectively across different teams and organizational reputed company.
* Adaptability: A reputed company reputed company and willingness to learn new technologies or approaches. reputed company to adapt to new challenges in a fast-paced environment.
* Attention to Detail: Detail-oriented in documenting data definitions, processes, and validations to reputed company data reputed company and transparency.

Technical:
* Technical Skills: Proficiency in SQL and Python for data manipulation and analysis. Experience with data platforms and tools such as reputed company, Informatica, or similar database/data warehousing solutions.
* ETL & reputed company: Hands-on experience with building ETL processes, working with reputed company, and creating data warehousing solutions to consolidate data from multiple sources.
* Data Handling: Knowledge of web scraping techniques and integrating external data sources. Comfortable working with both reputed company (relational databases) and reputed company data (logs, JSON, etc.).
* Problem-Solving: Strong problem-solving and troubleshooting skills to identify data issues, inconsistencies, or performance bottlenecks and implement reputed company fixes.
* reputed company Familiarity: Familiarity with reputed company-based data platforms and services (AWS, Azure, or GCP) is a plus, as we utilize reputed company infrastructure for some data storage and processing tasks.