Job Description
Festivals From India is hiring for their client ASIGN in Chennai an experienced Technical Product Manager to bridge product requirements and engineering execution. The TPM will work closely with the Product team, translating product vision and business requirements into technical specifications, partnering with engineering on architecture and delivery, and ensuring that our products are scalable, secure, and reliable. This is a hands-on builder role - you will own technical specifications, developer-facing documentation, system validation, and technical health metrics, while driving agile execution alongside engineers and QA.
About ASIGN :
ASIGN is a first-of-its-kind product & services company built specifically for the art and collectibles ecosystem. Our proprietary technology physically connects artworks and collectibles to our secure digital environment. We have built ASIGN for artists, creators, collectors and businesses to do everything they want to do—all in one place!
ASIGN invites the entire art and collectibles ecosystem to capitalize on our whole range of tools and technologies. We provide services such as assigning global identification numbers, assisting with artwork documentation, inventory management, invoicing, shipping & logistics tracking and a high-visibility marketplace for selling your authentic works of art.
Visit the ASIGN platform on this link : https : / / www.asign.art /
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Requirements
Key Attributes :
Preferred :
Requirements
Essential Requirements : Minimum 5 years of hands-on experience in data engineering. Solid understanding and experience with ELT pipelines and modern data stack tools. Practical knowledge of one or more orchestrators (Dagster, Airflow, Prefect, etc.). Proficiency in Python and SQL. Experience working with APIs and data integration from multiple sources. Familiarity with one or more cloud data warehouses (e.g., Snowflake, BigQuery,Redshift). Strong problem-solving and debugging skills. Essential Qualifications : Bachelor’s / Master’s degree in Computer Science, Engineering, Statistics, or a related field Proven experience (5+ years) in data engineering, data integration, and data management Hands-on experience in data sourcing tools and frameworks (e.g. Scrapy, BeautifulSoup, Selenium, Playwright) Proficiency in Python and SQL for data manipulation and pipeline development Experience with cloud-based data platforms (AWS, Azure, or GCP) and data warehouse tools (e.g. Redshift, BigQuery, Snowflake) Familiarity with workflow orchestration tools (e.g. Airflow, Prefect, Dagster) Strong understanding of relational and non-relational databases (PostgreSQL,MongoDB, etc.) Solid understanding of data modeling, ETL best practices, and data governance principles Systems knowledge and experience working with Docker. Strong and creative problem-solving skills and the ability to think critically about data engineering solutions. Effective communication and collaboration skills Ability to work independently and as part of a team in a fast-paced, dynamic environment.
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