Senior Data Engineer (AI/ML)

6-8 Years

Job Description

Key Responsibilities

Design, develop, and maintain scalable data pipelines for structured and unstructured data.
Build and optimize data lakes, data warehouses, and data platform architectures.
Support AI/ML model development by preparing, transforming, and delivering high-quality datasets.
Develop and manage ETL/ELT workflows using modern data engineering tools.
Collaborate with data scientists and ML engineers to operationalize machine learning models.
Implement data quality, validation, and monitoring frameworks.
Optimize data processing performance and cost across cloud platforms.
Develop and maintain data APIs and data services for downstream applications.
Ensure data security, governance, and compliance standards are met.
Mentor junior data engineers and contribute to best practices and architecture decisions.

Required Skills & Qualifications

Bachelor's in computer science, Data Engineering, Information Systems, or related field.
6+ years of experience in data engineering or data platform development.
Strong proficiency in Python, SQL, and distributed data processing frameworks.
Experience with big data technologies such as Spark, Hadoop, or similar platforms.
Hands-on experience with cloud platforms (AWS / Azure / GCP).
Experience building ETL pipelines and data orchestration workflows.
Understanding machine learning pipelines and model lifecycle.
Experience with data warehousing solutions such as Snowflake, BigQuery, Redshift, or similar.
Strong knowledge of data modeling, data governance, and data quality frameworks.

Preferred Skills & Key Competencies