Description :

We are looking for an AI-Driven Data Engineer who will be responsible for building scalable data pipelines, optimizing data infrastructure, and enabling AI-powered analytics across the organization. The role involves working with large datasets, modern data platforms, and AI-enabled tools to support data science, machine learning, and business intelligence initiatives.

The ideal candidate should have strong expertise in Python, SQL, distributed data systems, and modern data engineering frameworks, along with exposure to AI-driven data workflows and intelligent automation.

Role and Responsibilities :

- Strong proficiency in Python for data processing, ETL, and AI-enabled data workflows

- Advanced SQL skills, including query optimization, indexing, joins, and analytical functions

- Hands-on experience with ClickHouse, MongoDB, Redis, and ElasticSearch

- Proficiency in Apache Spark/PySpark and working with data lakes and AI/ML data pipelines

- Experience with ETL and data ingestion tools such as Apache NiFi

- Familiarity with messaging and streaming platforms like Kafka, RabbitMQ, and ActiveMQ for real-time data processing

- Experience with workflow orchestration frameworks such as Apache Airflow

- Exposure to cloud platforms (AWS, GCP, or Azure) and their data services (S3, Redshift, BigQuery, Dataproc) supporting AI/ML workloads

- Understanding of data warehousing, data modeling, and performance optimization techniques

Behavioural :

- Willingness to explore AI-driven technologies and continuously upskill

- Strong attention to detail with focus on scalable data and AI solutions

- Excellent problem-solving, analytical, and time management skills

- Strong communication skills to explain data concepts to stakeholders

- Strategic thinking with focus on optimizing data workflows