Job Description:

Overall Purpose

This position will manage a team of 10+ data engineers and 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 engineering, data analysis, visualization, good hands-on experience PySpark & Databricks, and in Azure Cloud Platform & Services

Key Roles and Responsibilities

Build end-to-end data & 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.

Extensive knowledge in Python, PySpark, Databricks, Azure Cloud Platform & Services

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.

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.

Experience in managing a team of 10 or more, is involved in appraisal and rating process

Required/Desired Skills

Cloud Platforms - Azure, Databricks, Deltalake (Required 5-6 years)

SQL Programming, Python/PySpark ETL (Required 8+ Years)

Unix/Linux shell scripting (Required 6-8 years)

RDBMS and Data Warehousing (Required 8+ Years)

Iceberg enablement (Desired 2-3 years)

Managed a team for 2+ years

Snowflake & Power BI / Tableau (Good to have)

Weekly Hours:

40

Time Type:

Regular

Location:

IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City

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.

Job ID R-91908 Date posted 12/23/2025