1buy.ai - Data Engineer - Python/SQL

1buy.ai

3 years

0 Lacs

Delhi Delhi India

Posted:15 hours ago| Platform:

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Skills Required

data python sql procurement pricing cutting technology sourcing extraction analytics etl support visualization integrity mongodb postgresql efficiency writing pipeline nosql aws scripting automation workflow orchestration apache airflow collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

Location : Work from Office (Okhla Phase III, Okhla Industrial Estate, New Delhi - 110020) About Us 1buy.ai is an innovative procurement and pricing intelligence platform specialized in the electronics industry, leveraging cutting-edge technology to streamline and optimize component sourcing. We are seeking a Data Engineer to join our dynamic tech team. You'll play a critical role in managing, transforming, and delivering data-driven insights to empower our platform and decision-making. Key Responsibilities Develop and optimize complex SQL queries for data extraction and analytics. Build and maintain robust ETL/ELT pipelines for data ingestion and transformation. Collaborate closely with stakeholders to support data visualization initiatives. Ensure data accuracy, integrity, and availability across various databases (MongoDB, PostgreSQL, Clickhouse). Monitor, maintain, and enhance data solutions leveraging Grafana dashboards. Continuously improve data processes and efficiency, aligning with business and industry needs. Required Skills 3+ years of experience and proficiency in writing and optimizing complex SQL queries. Strong expertise in ETL/ELT processes and data pipeline frameworks. Familiarity With Data Visualization tools and frameworks (Grafana). Databases : MongoDB (NoSQL), PostgreSQL. Electronics industry and component types. Optional Skills AWS cloud services for deploying data solutions Python scripting and automation. Data warehousing databases (Clickhouse). Workflow orchestration tools (Apache Airflow). What We Offer A collaborative and innovative environment. Opportunities for professional growth within a high-growth startup. Exposure to industry-leading data technologies and best practices. (ref:hirist.tech) Show more Show less