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Mid-level popular data role with common skills and 2–5 years experience increases applicant competition.
Core skills (SQL, Python, ETL, databases) are highly transferable across industries.
Requires explicit 2–5 years plus mandatory SQL/Python/database skills, making filters moderately strict.
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Build and maintain reliable data pipelines and systems for collecting, processing, storing, and using business data from web, mobile, and SaaS applications.
Design database structures and optimize performance to handle large volumes of application data with emphasis on accuracy, consistency, and query efficiency.
Develop automated data processes, reports, and ensure data pipeline monitoring and failure resolution.
2 to 5 years of practical Data Engineering or Backend Data experience.
Strong SQL skills with experience in MySQL or PostgreSQL and Python programming.
Knowledge of database design, optimization, ETL/ELT concepts, data cleaning, REST APIs, Git, and basic Linux.
Job location must be in Lucknow, Uttar Pradesh; Full Time role.
Experienced in building and maintaining scalable data pipelines and working with large datasets in production environments.
Competent in both backend data engineering tasks and collaboration with development/product teams for data-related solutions.
Familiar with data system reliability, data flow from applications to business use, and comfortable handling database performance and recovery processes.