Specialist Data Analysis - Data Engineering

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:

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.