Data Engineer

Reposted 10 Hours Ago
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Hyderabad, Telangana
Mid level
Logistics
The Role
The Data Engineer at Turvo will design and implement scalable data pipelines and processes, build enterprise-scale data warehouse models, and work with various AWS technologies and BI tools. The role requires experience with data applications, message queues, and coding in languages like Python or Java.
Summary Generated by Built In

About Turvo

Turvo provides a collaborative Transportation Management System (TMS) application designed specifically for the supply chain. Turvo Collaboration Cloud connects freight brokers, 3PLs, shippers, and carriers to unite supply chain ecosystems, delivering outstanding customer experiences, real-time collaboration, and accelerated growth. The technology unifies internal and external systems, providing one end-to-end solution that streamlines operations, enhances analytics, and automates business processes while eliminating redundant manual tasks. Turvo’s customers include some of the world’s largest Fortune 500 logistics service providers and shippers as well as small to mid-sized freight brokers.


Turvo is based in Dallas, Texas, with offices in Hyderabad, India. (www.turvo.com).

Responsibilities:

  • Expertise in designing and implementing scalable data pipelines (e.g., ETL) and processes.
  • Experience building enterprise-scale data warehouse and database models end-to-end.
  • Proven hands-on experience with Snowflake and related ETL technologies.
  • Experience working with Tableau, Power BI or other BI tools.
  • Experience with native AWS technologies for data and analytics such as Redshift, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch, etc.
  • Experience with NoSQL databases (MongoDB, Elasticsearch).
  • Experience working with relational databases and awareness of writing & optimising SQL queries for analytics and reporting.
  • Experience developing scalable data applications and reporting frameworks.
  • Experience working with message queues, preferably Kafka and RabbitMQ.
  • Ability to write code in Python, Java, Scala or other languages.

Qualification:

  • 3+ years experience in architecture of DW/Data Lake solutions for the Enterprise using multiple platforms.
  • Experience writing high quality, maintainable SQL on large datasets. 
  • Expertise in designing and implementing scalable data pipelines (e.g., ETL) and processes in Data Warehouse/Data Lake to support dynamic business demand for data.
  • Experience working on building/optimising logical data models and data pipelines while delivering high quality data solutions that are testable and adhere to SLAs.
  • Excellent knowledge and experience of query optimisation and tuning.
  • Knowledgeable about a variety of strategies for ingesting, modelling, processing, and persisting data.
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The Company
San Francisco, CA
0 Employees
On-site Workplace
Year Founded: 2014

What We Do

Turvo is the world’s first multi-enterprise collaborative platform specifically designed for the global supply chain. The Turvo platform connects people and organizations across the supply chain, allowing shippers, logistics providers and carriers to digitally transform their workflows with cloud-based software and mobile applications. The technology unifies all systems, internal and external, providing one end-to-end system of record set for all operations and analytics, while eliminating redundant manual tasks and automating business processes. Turvo customers include some of the world’s largest, fortune 500 logistics service providers, fast growth shippers and many brokers large and small all rely on Turvo. Turvo is based in the San Francisco Bay Area with offices in Dallas, Texas, and Hyderabad, India.

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