DHL Off Campus Drive 2024 for Data Engineer | Apply Now!

DHL Off Campus 2024:

DHL Career 2024 Responsibilities:

• 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.
• What will you need? To be successful in this role you will need to have excellent analytic skills related to working with structured, semi structured, and unstructured datasets, expert SQL knowledge and experience with relational as well as no-SQL database systems.
• Furthermore, you need to have experience with Data Warehousing for large complex data sets – defining, building and optimizing data models based on use case requirements.
• Ideally you also have experience with developing and/or maintaining Python/PySpark data pipelines.

DHL Off Campus 2024 Eligibility Criteria:

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

Preferred skill:

• 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!
• 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; You should have:
• Experience with Data Lake/Big Data Projects implementation in Cloud (preferably MS Azure) and/or On-premise platforms: o Cloud – Azure technology stack: ADLS Gen2, Databricks.

Click here for HR Interview Questions and Answers

DHL Off Campus Selection Process:

The DHL selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

1. Online Application: The process begins with candidates submitting their applications through DHL official careers website. Providing accurate and comprehensive information on your resume and application is essential.
2. Resume Screening: The Company recruitment team reviews all incoming applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities. These assessments can cover a wide range of topics, including coding, problem-solving, and domain-specific knowledge.
4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews. These interviews assess a candidate’s technical expertise, coding skills, problem-solving capabilities
5. Offer: If a candidate successfully navigates all interview stages and reference checks, they will receive a formal job offer. The offer will include details such as compensation, benefits, and other terms of employment.
6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the DHL onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the DHL selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join DHL?

• Work-life balance: Competitive pay, comprehensive benefits, and flexible work schedules
• Professional development: Job training, conferences, and opportunities for career advancement
• Financial and retirement: 401(k) and performance bonuses
• Child care and parental leave: Adoption assistance
• Office perks: Company-sponsored outings
• Health insurance and wellness: Dental insurance
• Vacation and time off: Paid volunteer time