We are seeking a highly skilled Senior Logistics Data Engineer to design, develop, and maintain robust ETL data pipelines, develop the platform, and reporting. The primary objective of this role is to streamline our logistics operations by ensuring efficient data flow, process automation, and delivering actionable insights through comprehensive business intelligence.

Key responsibilities:

Architect and implement scalable and reliable ETL data pipelines to extract, transform, and load data from various sources, including Extensive 3PL Central and other logistics platforms

Develop and maintain platform integrations to enable seamless data synchronization and process automation across our logistics ecosystem

Design and optimize data models and data transformation processes to ensure data integrity, consistency, and performance

Build and maintain a comprehensive business intelligence platform, including dashboards, reports, and data visualizations, to support data-driven decision-making

Collaborate with cross-functional teams, including operations, finance, and management, to align data solutions with business requirements and provide valuable insights

Monitor and troubleshoot data pipeline and platform performance to ensure high availability, reliability, and data accuracy

Continuously explore and implement improvements to our data infrastructure, leveraging industry best practices and emerging technologies

Required skills and experience:

5+ years of experience in data engineering, with a strong focus on ETL data pipelines, platform integration, and business intelligence in the logistics or supply chain domain

Expert-level proficiency in data modeling, data transformation, and SQL programming

Deep understanding of data warehousing concepts, data lake architectures, and ETL best practices

Hands-on experience with leading ETL tools (e.g., Talend, Informatica, AWS Glue) and data warehousing platforms (e.g., Snowflake, Redshift, BigQuery)

Proficiency in building and maintaining business intelligence solutions using tools such as Tableau, Power BI, or Looker

Strong problem-solving and debugging skills to ensure the stability and reliability of data pipelines and platforms

Excellent communication and collaboration abilities to work effectively with various stakeholders and translate business requirements into technical solutions

This is a critical role that requires a deep understanding of logistics data, ETL processes, platform integration, and business intelligence. The ideal candidate should be comfortable working with large datasets, have a keen eye for detail, and possess a strong drive to deliver high-quality solutions that drive operational efficiency and support data-driven decision-making in our logistics business.

Hourly Range: $50.00-$100.00

Posted On: April 29, 2024 18:24 UTC
Category: Full Stack Development
Skills:Django, Flask, API, API Integration, Python, Data Engineering, Data Science, Business Intelligence

Country: Croatia

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