Data Engineer Generative AI

Position: Data Engineer – Generative AI & Data Platforms

Experience: 5+ Years

Location: Bengaluru / Chennai (Hybrid/Remote)

EmploymentType: Full-Time

About Latinum:

Latinum is hiring for a client and is looking for an experienced Data Engineer with 5+ years of experience in designing, developing, and maintaining scalable data platforms and ETL/ELT pipelines. The ideal candidate will have strong expertise in Python, SQL, PySpark, cloud data platforms, and modern data engineering frameworks, along with hands-on exposure to Generative AI and Large Language Models (LLMs).

You will play a key role in building reliable, high-performance data solutions that support analytics, reporting, and AI/ML initiatives.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
• Build data ingestion processes from structured and unstructured sources.
• Develop and optimize data models, data warehouses, and data lakes.
• Write and optimize complex SQL queries for high-performance processing.
• Implement data cleansing, validation, transformation, and quality checks.
• Develop batch and real-time data processing pipelines.
• Integrate data solutions with AWS, Azure, or GCP.
• Work with large-scale distributed datasets using Apache Spark/PySpark.
• Support data engineering requirements for Generative AI and LLM-based solutions.
• Collaborate with data scientists, analysts, and application teams.
• Follow engineering best practices including Git, CI/CD, testing, monitoring, and documentation.

Required Skills

• 5+ years of hands-on experience in Data Engineering.
• Strong programming skills in Python.
• Hands-on experience with PySpark and Apache Spark.
• Advanced SQL, including query optimization and performance tuning.
• Experience with AWS, Azure, or GCP.
• Strong experience building scalable ETL/ELT pipelines.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Strong understanding of data warehousing and dimensional modeling.
• Experience working with large-scale distributed datasets.
• Familiarity with Git and CI/CD pipelines.
• Understanding of Agile/Scrum methodologies.

Preferred Skills

• Experience with Apache Airflow or similar orchestration tools.
• Knowledge of Kafka and real-time data streaming.
• Exposure to Databricks and modern data lake technologies such as Delta Lake, Apache Iceberg, or Apache Hudi.
• Familiarity with Docker, Kubernetes, and Terraform/IaC.
• Understanding of data governance and metadata management.
• Strong analytical, problem-solving, and communication skills.

Qualification

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.

Interested candidates can share their resume at [Confidential Information] & [HIDDEN TEXT]