Job Description:

Specialist, Data Engineering

Overall Purpose
This position will interact on a consistent basis with other developers, architects, data product owners and source systems. This position requires multifaceted candidates who have experience in data analysis, visualization, good hands-on experience with BI Tools and relational databases, experience in data warehouse architecture (traditional and cloud).
Key Roles and Responsibilities
•    Develop, understand, and enhance code in traditional data warehouse environments, data lake, and cloud environments like Snowflake, Azure, Databricks
•    Build new end-to-end business intelligence solutions. This includes data extraction, ETL processes applied on data to derive useful business insights, and best representing this data through dashboards.
•    Write complex SQL queries used to transform data using Python/Unix shell scripting
•    Understand business requirements and create visual reports and dashboards using Power BI or Tableau. 
•    Upskill to different technologies, understand existing products and programs in place
•    Work with other development and operations teams.
•    Flexible with shifts and occasional weekend support.
Key Competencies
•    Full life-cycle experience on enterprise software development projects. 
•    Experience in relational databases/ data marts/data warehouses and complex SQL programming. 
•    Extensive experience in ETL, shell or python scripting, data modelling, analysis, and preparation
•    Experience in Unix/Linux system, files systems, shell scripting. 
•    Good to have knowledge on any cloud platforms like AWS, Azure, Snowflake, etc.
•    Good to have experience in BI Reporting tools – Power BI or Tableau
•    Good problem-solving and analytical skills used to resolve technical problems. 
•    Must possess a good understanding of business requirements and IT strategies. 
•    Ability to work independently but must be a team player. Should be able to drive business decisions and take ownership of their work.
•    Experience in presentation design, development, delivery, and good communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts.
Required/Desired Skills
•    RDBMS and Data Warehousing (Required 4-6 Years)
•    SQL Programming and ETL (Required 4-6 Years)
•    Unix/Linux shell scripting (Required 3-4 years)
•    Power BI / Tableau (Desired 2 years)
•    Python or any other programming language (Desired 2 years)
•    Cloud Platforms - Azure, Snowflake, Databricks, Deltalake  (Desired – good to have experience)

Education & Qualifications
University Degree in Computer Science and/or Analytics

Minimum Experience required: 4-6 years in relational database design & development, ETL development

Weekly Hours:

Time Type:

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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.