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Data Engineer - Financial Performance and Analytics

Location: Chennai
Company: Expeditors
Direct Employers
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"We're not in the shipping business; we're in the information business" -Peter Rose, Expeditors Founder
As a Fortune 500 company, Expeditors employs more than 15,000 trained professionals in a worldwide network of over 300 locations across six continents. Expeditors satisfies the increasingly sophisticated needs of international trade through customized solutions and seamless, integrated information systems. Our services include the consolidation and forwarding of air or ocean freight, customs brokerage, vendor consolidation, cargo insurance, time-definite transportation, order management, warehousing, distribution and customized logistics solutions. Expeditors is headquartered in Seattle, Washington.
The Financial Performance and Analytics Group at Expeditors is committed to providing "one version of the truth" for all things related to financial data. The group is looking for a self-starter who will combine strong technical abilities and leadership skills to deliver business value in a fast-paced and collaborative development environment. The Data Engineer will be self-driven and communicate effectively with different technical and non-technical stake-holders, propagate best practices, drive innovation, and deliver successfully against high operational standards.
Major Duties and Responsibilities
- Design, implement, maintain, and support scalable, efficient, automated end-to-end ETL solutions for large scale data analytics
- Develop automated data validation scripts to ensure data quality
- Develop unit tests to ensure code stability
- Automate application CI/CD deployment pipeline using Gitlab Runner
- Deploy applications as Docker containers to a production Kubernetes environment, or as virtual machines in an on-premises server farm.
- Deploy Apache Airflow server and migrate ETL processes to Airflow DAGs
- Education: Bachelor's degree in computer science, engineering, mathematics, or a related degree
- 2+ years of industry experience in data engineering, data architecture or related field with a track record of manipulating, processing, and extracting value from large datasets
Required Knowledge, Skills and Abilities
- Ability to communicate clearly and concisely with technical and non-technical teams across multiple businesses; written, verbal, presentation, and interpersonal skills
- Proficient in SQL and DDL data logic in Postgres, SQL Server, and/or IBM DB2
- Proficient in Python, test driven development, source control (GitLab)
- Experienced with Docker, Kubernetes, Virtual Machines
- Experienced with Shell scripting languages such as PowerShell and/or Bash
- Knowledge of efficient database schema design (normalization, partitioning, indexing, etc)
- Demonstrated strength in data modeling, ETL development, and data warehousing
- Exposure to BI visualization tools such as Power BI and/or Tableau
Preferred Qualification
- Experience developing web applications using Flask or Django Frameworks
- Experience with Kafka, MongoDB, Avro Schema design.
Manager, Operational Experience
The position would be based in Chennai.
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