Specialist Data / AI Engineering

Job Description

Key Responsibilities :

Data Engineering & Architecture :

• Design, develop, and maintain high-performance data pipelines for structured and unstructured data using Azure Data Bricks and Apache Spark.
• Build and manage scalable data ingestion frameworks for batch and real-time data processing.
• Implement and optimize data lake architecture in Azure Data Lake to support analytics and reporting workloads.
• Develop and optimize data models and queries in Azure Synapse Analytics to power BI and analytics use cases.

Cloud-Based Data Solutions :

ETL / ELT Development :

Performance Optimization :

Collaboration & Stakeholder Management :

Documentation & Knowledge Sharing :

Required Qualifications :

Preferred Skills (Nice to Have) :

Experience with data governance to

Weekly Hours : 40

Time Type : Regular

Location :

Hyderabad, Andhra Pradesh, India

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.