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Data Engineer I/II/III/Lead
FedEx Express
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Understanding in depth both the business and technical problems Dataworks aims to solve
- Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
- Scaling up from laptop-scale to cluster scale problems, in terms of both infrastructure and problem structure and technique
- Collaborating across teams to drive the generation of data driven operational insights that translate to high value optimized solutions.
- Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
- Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
- Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems
Skill/Knowledge Considered a Plus
- Technical background in computer science, software engineering, database systems, distributed systems
- Fluency with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties
- Experience in building robust cloud-based data engineering and curation solutions to create data products useful for numerous applications
- Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred. Experience with any combination of the following azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Synapse Analytics
- Developing and operationalizing capabilities and solutions including under near real-time high-volume streaming conditions.
- Hands-on development skills with the ability to work at the code level and help debug hard to resolve issues.
- A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data processing methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an expert hacker to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An engineering mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
- Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
- Use of agile and devops practices for project and software management including continuous integration and continuous delivery
- Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, MongoDB/CosmosDB
- Java, Python data tools
- Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and utilize CI/CD pipelines
- Working knowledge and experience implementing data architecture patterns to support varying business needs
- Experience with different data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
- Use of Azure Kubernetes Services, Eventhubs, or other related technologies to implement streaming ingestions
- Experience developing and implementing alerting and monitoring frameworks
- Working knowledge of Infrastructure as Code (IaC) through Terraform to create and deploy resources
- Implementation experience across different data stores, messaging systems, and data processing engines
- Data integration through APIs and/or REST service
- PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience a plus
Employment Type: Full Time, Permanent
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People are getting interviews through
(based on 66 FedEx Express interviews)
Job Portal
Company Website
Walkin
Referral
Campus Placement
Recruitment Consultant
35%
14%
14%
9%
5%
3%
20% candidates got the interview through other sources.
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What people at FedEx Express are saying
Data Engineer 1 salary at FedEx Express
reported by
4
employees
with 3-5
years exp.
₹10.2
L/yr - ₹18
L/yr
37%
more
than the average Data Engineer 1 Salary in India
View more details
What FedEx Express employees are saying about work life
based on 1.2k employees
Flexible timing
Monday to Friday
No travel
Day Shift
FedEx Express Benefits
Job Training 
Health Insurance 
Soft Skill Training 
Education Assistance 
Free Transport 
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