Lead Data/AI Engineering

ATT Communication Services

15 - 20 years

30 - 35 Lacs

bengaluru

Posted:3 days ago| Platform:

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Skills Required

advance sql python metadata management data security data warehousing relational databases artificial intelligence data mart unix linux shell scripting scripting data modeling leadership linux data governance unix etl process communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead the end-to-end design, architecture, development, testing, and deployment of scalable Data AI solutions across traditional data warehouses, data lakes, and cloud platforms such as Snowflake, Azure, AWS, Databricks, and Delta Lake.
Architect and build secure, scalable software systems, microservices, and APIs leveraging best practices in software engineering, automation, version control, and CI/CD pipelines.
Develop, optimize, and maintain complex SQL queries, Python scripts, Unix/Linux shell scripts, and AI/ML pipelines to transform, analyze, and operationalize data and AI models.
Incorporate GenAI technologies by evaluating, deploying, fine-tuning, and integrating models to enhance data products and business insights.
Translate business requirements into robust data products, including interactive dashboards and reports using Power BI, Tableau, or equivalent BI tools.
Implement rigorous testing strategies to ensure reliability, performance, and security throughout the software development lifecycle.
Lead and mentor engineering teams, fostering collaboration, knowledge sharing, and upskilling in evolving technologies including GenAI.
Evaluate and select optimal technologies for platform scalability, performance monitoring, and cost optimization in both cloud and on-premise environments.
Partner cross-functionally with development, operations, AI research, and business teams to ensure seamless delivery, support, and alignment to organizational goals.

Key Competencies

Extensive leadership and strategic experience in full software development lifecycle and enterprise-scale data engineering projects.
Deep expertise in relational databases, data marts, data warehouses, and advanced SQL programming.
Strong hands-on experience with ETL processes, Python, Unix/Linux shell scripting, data modeling, and AI/ML pipeline integration.
Proficiency with Unix/Linux operating systems and scripting environments.
Advanced knowledge of cloud data platforms (Azure, AWS, Snowflake, Databricks, Delta Lake).
Solid understanding and practical experience with Traditional Gen AI technologies including model development, deployment, and integration.
Familiarity with big data frameworks and streaming technologies such as Hadoop, Spark, and Kafka.
Experience with containerization and orchestration tools including Docker and Kubernetes.
Strong grasp of data governance, metadata management, and data security best practices.
Excellent analytical, problem-solving, and communication skills to articulate complex technical concepts and business impact.
Ability to independently lead initiatives while fostering a collaborative, innovative team culture.
Desired knowledge of software engineering best practices and architectural design patterns.

Required/Desired Skills

RDBMS and Data Warehousing 12+ years (Required)
SQL Programming and ETL 12+ years (Required)
Unix/Linux Shell Scripting 8+ years (Required)
Python or other programming languages 6+ years (Required)
Cloud Platforms (Azure, AWS, Snowflake, Databricks, Delta Lake) 5+ years (Required)
Power BI / Tableau 5 years (Desired)
Generative AI (model development, deployment, integration) 3+ years (Desired)
Big Data Technologies (Hadoop, Spark, Kafka) 3+ years (Desired)
Containerization and Orchestration (Docker, Kubernetes) 2+ years (Desired)
Data Governance and Security 3+ years (Desired)
Software Engineering and Architecture 4+ years (Desired)

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