Back
Tier-1 brand, generalist data role, metro location, unspecified mid-level experience, and broad required skillset increase competition.
Core ETL, Python, SQL and cloud data skills are highly transferable across industries.
Extensive mandatory technical stack and domain expertise requirements increase shortlisting rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable ETL data pipelines and systems using Python and SQLAlchemy, ensuring data integrity and quality.
Optimize SQL queries and manage relational databases like MSSQL, PostgreSQL, Oracle for efficient data processing.
Architect and implement agentic AI solutions and automation to enhance data workflows and support advanced analytics.
Advanced Python programming skills, including libraries such as Pandas, Numpy, and SQLAlchemy.
Strong experience in ETL processes, data modeling, and relational database management with query optimization.
Proven experience as a Data Engineer or similar role; Work Experience Required: Proven experience in the role.
Bachelor's or master's degree in Computer Science, Engineering, or a related field.
Experienced in implementing agentic AI or automation frameworks integrated into data pipelines.
Familiarity with AWS cloud data services (Athena, Batch, S3, Lambda) and real-time streaming platforms (Kafka, Kinesis).
Capable of delivering scalable, robust data engineering solutions in fast-paced, agile environments focused on AI-driven innovation.