Sr Associate Data/AI Engineering (ETL, SQL, Python, AI/ML)

ATT Communication Services

1 - 4 years

3 - 6 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

computer science automation postgresql analytical debugging application security data quality mongodb sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Roles and 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/Desired Skills

Bachelor s or Master s degree in Computer Science, Engineering, or related field.
1 to 4 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.

Soft Skills:

Strong analytical and problem-solving skills, with the ability to design solutions for complex challenges.
Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders.
Ability to work independently and lead projects in a fast-paced environment.
Attention to detail and a focus on delivering high-quality, maintainable solutions.

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.

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