Job Description:
Key Responsibilities
Design, develop, and maintain robust data pipelines and AI integration solutions using Python on Azure Databricks.
Integrate Generative AI and Agentic AI models into existing and new workflows to drive business innovation and automation.
Collaborate with data scientists, AI researchers, software engineers, and product teams to deliver scalable and efficient AI-powered solutions.
Orchestrate data movement and transformation across Azure-native services including Azure Databricks, Azure Storage (Blob, Data Lake), and Snowflake, ensuring data quality, security, and compliance.
Integrate enterprise data using Palantir Foundry and leverage Azure services for end-to-end solutions.
Develop and implement APIs and services to facilitate seamless AI model deployment and integration.
Optimize data workflows for performance and scalability within Azure.
Monitor, troubleshoot, and resolve issues related to data and AI pipeline performance.
Document architecture, designs, and processes for knowledge sharing and operational excellence.
Stay current with advances in GenAI, Agentic AI, Azure data engineering best practices, and cloud technologies.
Required Skills and Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
6 to 9 years of professional experience as a Data Engineer or Software Engineer.
Strong proficiency in building and managing ETL/ELT pipelines and data workflows.
Solid understanding of relational and NoSQL databases (e.g., SQL Server, PostgreSQL, MongoDB, Cassandra).
Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka, Airflow).
Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Java, Scala).
Experience integrating and deploying AI/ML models into production systems.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data services.
Strong problem-solving, analytical, and debugging skills.
Excellent communication and teamwork abilities.
Preferred/Optional Skills
Experience developing web applications using Angular/REACT, node.js and others.
Knowledge of data and application security best practices.
Relevant certifications (Azure Data Engineer Associate).
Education & Experience:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Location: Bangalore
Employment Type: Full-Time
Weekly Hours:
40Time Type:
RegularLocation:
IND:KA:Banglaore / Intl Tech Park, Whitefield Rd - Storage: Innovator Building, Itpb, Whitefield RdIt 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.