Specialist Data/AI Engineering

Job Description:

Key Roles and Responsibilities:

• Deliver and support the standardization, customization and ad-hoc data analysis using BI applications such as Power BI and Tableau and develop the mechanisms to ingest, analyze, validate, normalize and clean data. Implement statistical data quality procedures on new data sources and by applying rigorous iterative data analytics, supports Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
• Use Generative AI in data analytics to automate the data extraction, analysis process, filtering data by inputting parameters, future data analysis and risk management. Work with vendors and copilot a Generative AI tool to build new reports quickly and with high levels of specificity, generate visualizations from data, analyze data, analyze existing reports, create narratives from data and forecasting.
• Collaborate with portfolio stakeholders, Solution and Enterprise Architects, to develop, analyze, split, and realize the implementation of enablers. Participate in project planning, system and solution demos, retrospective workshops. Program different platforms (most importantly with SQL), involving power BI or tableau development and administration.
• Align development teams to a shared technical direction and partners with those teams in elaborating the Solution and its interfaces. Validate technology assumptions, evaluate implementation alternatives. Create and enable the Continuous Delivery Pipeline including: Participate in planning, definition, and high-level design of the system solution and explore alternatives.
• Work with Big Data Policy and Security teams and Legal to create data policy and develop interfaces and retention models which requires synthesizing or anonymizing data for secure data access.
• Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment.
• Develop and maintain data engineering best practices and contribute to Insights on data analytics and visualization concepts, methods and techniques

equired/Desired Skills

• Cloud Platforms - Azure, Snowflake, Databricks, Deltalake (Required 3-4 years)
• RDBMS and Data Warehousing (Required 6-8 Years)
• SQL Programming and ETL (Required 6-8 Years)
• Unix/Linux shell scripting (Desired 2-3 years)
• Python or any other programming language (Desired 4 years)
• Power BI / Tableau (Required 5-7 years)
• BI Tools Architecture/Knowledge (6-8 years)

Education & Qualifications

University Degree in Computer Science and/or Analytics

Minimum Experience required: 8 years in relational database design & development, BI Tools Architecture/Knowledge

#SoftwareEngineering

Weekly Hours:

Time Type:

Location:

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.