DHL Off Campus Hiring For Data Engineer | Apply Now!

• Designing, developing and maintaining near-real time ingestion pipelines through Qlik Replicate (or alternative technology) replicating data from transactional Databases to our Data Eco-system powered by Azure Data Lake and Snowflake. 
• Monitoring and supporting batch data pipelines from transactional Databases to our Data Eco-system powered by Azure Data Lake and Snowflake.
• Setting up new and monitoring of existing metrics, analyzing data, performing root cause analysis and proposing issue resolutions.
• Managing the lifecycle of all incidents, ensuring that normal service operation is restored as quickly as possible and minimizing the impact on business operations. 
• Document data pipelines, data models, and data integration processes to facilitate knowledge sharing and maintain data lineage.
• Cooperate with other Data Platform & Operations team members and our stakeholders to identify and implement system and process improvements.
• Leveraging DevOps framework and CI/CD.
• Supporting and promoting Agile way of working using SCRUM framework. 

Skills:

•  Expertise using relational Database systems such as Oracle, MS/Azure SQL, MySQL, etc.;
• Expert SQL knowledge. It’s great it you have experience with Snowflake SaaS data warehouse or alternative solutions.
• Practical experience developing and/or supporting CDC data pipelines – we use Qlik Replicate but any other technology is welcome!
• Excellent problem-solving, communication, and collaboration skills to provide effective support and assistance in data engineering projects;
• Experience with development and/or support of Lakehouse architectures – we use Parquet / Delta, Synapse Serverless and Databricks/Databricks SQL;
• Proficiency in Python programming and experience with PySpark libraries and APIs;
• Very good understanding of Software Development Lifecycle, source code management, code reviews, etc.; 
• Experience in; managing of Incident life-cycle from ticket creation till closure (we use Service Now and JIRA) 
• Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement;
• Experience in building processes supporting data transformation, data structures, metadata, dependency and workload management; 

DHL Off Campus Qualification: 

• Bachelor’s degree in Engineering/Technology;
• Minimum 2-3 years of experience in the Data Engineer role.

DHL Selection Process:

• Resume Screening
• Initial Interview
• Technical Assessment
• Panel Interview
• Behavioural Interview
• Final Interview
• Reference Check
• Job Offer

How to Apply for DHL Off Campus Drive 2024?

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