Data Engineer

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February 12

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Indian Importers Chambers of Commerce and Industry

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B2B • Finance • Transport

Indian Importers Chambers of Commerce and Industry is a non-profit organization dedicated to advocating for the interests of importers in India. With a vision of expanding to eighteen independent chambers globally, this chamber offers services such as legal advisory, foreign direct investment support, and networking opportunities. Established from a forum of importers that evolved over decades, it focuses on enhancing international connectivity and business consultancy for its members, ensuring they receive valuable assistance and resources for their trade activities.

11 - 50 employees

🤝 B2B

💸 Finance

🚗 Transport

📋 Description

• Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from various sources • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions • Optimize and tune database queries and processes for performance and efficiency • Implement data quality checks and validation procedures to ensure the integrity and accuracy of data • Build and maintain data warehouses and data marts to support reporting and analytics needs • Work closely with data scientists and analysts to provide access to structured and unstructured data for analysis and modeling • Continuously evaluate and adopt new technologies and tools to enhance data processing capabilities and improve efficiency • Document technical designs, processes, and procedures for data engineering projects • Troubleshoot and resolve issues related to data pipelines, databases, and data infrastructure • Stay up-to-date with industry trends and best practices in data engineering and related technologies

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field • 0-5 years of experience in data engineering or a similar role • Proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL) • Strong programming skills in at least one scripting language (e.g., Python, Java, Scala) • Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery) • Familiarity with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica) • Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud Platform) • Understanding of data modeling principles and techniques • Excellent problem-solving and analytical skills • Strong communication and collaboration skills, with the ability to work effectively in a team environment