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Senior Data Engineer

https://cogoport.com/ Logo

Cogoport

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Location:
India , Mumbai

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

We are looking for a Senior Data Engineer (SDE 3) to build scalable, high-performance data solutions that drive actionable insights for logistics, freight pricing, shipment tracking, and operational efficiencies.

Job Responsibility:

  • Design and develop real-time and batch ETL/ELT pipelines for structured and unstructured logistics data (freight rates, shipping schedules, tracking events, etc.)
  • Optimize data ingestion, transformation, and storage for high availability and cost efficiency
  • Ensure seamless integration of data from global trade platforms, carrier APIs, and operational databases
  • Architect scalable, cloud-native data platforms using AWS (S3, Glue, EMR, Redshift), GCP (BigQuery, Dataflow), or Azure
  • Build and manage data lakes, warehouses, and real-time processing frameworks to support analytics, machine learning, and reporting needs
  • Optimize distributed databases (Snowflake, Redshift, BigQuery, Apache Hive) for logistics analytics
  • Develop streaming data solutions using Apache Kafka, Pulsar, or Kinesis to power real-time shipment tracking, anomaly detection, and dynamic pricing
  • Enable AI-driven freight rate predictions, demand forecasting, and shipment delay analytics
  • Improve customer experience by providing real-time visibility into supply chain disruptions and delivery timeline
  • Ensure high availability, fault tolerance, and data security compliance (GDPR, CCPA) across the platform
  • Improve query performance for large-scale logistics datasets through indexing, partitioning, and caching techniques
  • Implement data quality checks, lineage tracking, and metadata management for transparency and governance
  • Work closely with product managers, data scientists, and logistics experts to translate business needs into scalable data solutions
  • Partner with business teams to deliver revenue-impacting insights on freight, shipments, and trade patterns

Requirements:

  • 6+ years of experience in data engineering, working with large-scale distributed systems
  • Strong proficiency in Python, Java, or Scala for data processing
  • Expertise in SQL and NoSQL databases (PostgreSQL, Cassandra, Snowflake, Apache Hive, Redshift)
  • Experience with big data processing frameworks (Apache Spark, Flink, Hadoop)
  • Hands-on experience with real-time data streaming (Kafka, Kinesis, Pulsar) for logistics use cases
  • Deep knowledge of AWS/GCP/Azure cloud data services like S3, Glue, EMR, Databricks, or equivalent
  • Familiarity with Airflow, Prefect, or Dagster for workflow orchestration
  • Strong understanding of logistics and supply chain data structures, including freight pricing models, carrier APIs, and shipment tracking systems

Nice to have:

  • Experience in building predictive analytics solutions for freight rates, demand forecasting, and risk assessment
  • Experience in machine learning model deployment and MLOps practices
  • Exposure to real-time analytics and OLAP systems
  • Certifications in AWS/GCP Data Engineering
What we offer:
  • Work with some of the brightest minds in the industry
  • Entrepreneurial culture fostering innovation, impact, and career growth
  • Opportunity to work on real-world logistics challenges
  • Collaborate with cross-functional teams across data science, engineering, and product
  • Be part of a fast-growing company scaling next-gen logistics platforms using advanced data engineering and AI

Additional Information:

Job Posted:
March 26, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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