Data Engineer

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🕒 March 31

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Indian Importers Chambers of Commerce and Industry

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 B2B

💸 Finance

🚗 Transport

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.

📋 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