Job Overview
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Job Description
Junior Data Engineer
Lensa is partnering with Insight Global to promote a job opportunity for a Junior Data Engineer with one of the largest logistics and transportation employers in the US. This role is crucial for understanding business problems and designing solutions to transform complex ideas into sustainable processes. The primary focus will be on supporting the onboarding of new lines of business into the data analytics team.
Responsibilities
- Assist in the full life cycle of data engineering, from requirement gathering to solution maintenance.
- Build and test data pipelines.
- Develop and maintain reports.
- Support escalation tasks and system development.
- Help automate processes and maintain internal systems.
- Assist in data modeling and turning data into valuable business insights.
- Leverage expertise in data structures specific to the company's operating systems.
Key Skills and Requirements
- 2-5+ years of data engineer experience.
- Strong Azure Data Factory (ADF) experience, including creating pipelines from scratch and knowledge of connectors/activities.
- Proficient in SQL scripting, especially implementing SQL into ADF.
- Understanding of full life cycle data engineering.
- Exceptional attention to detail and ability to provide effective updates.
- Strong communication skills for interacting with internal and external customers.
- Strong critical thinking skills.
- Experience with Python or Spark (basic scripting and reviews).
- DevOps experience.
- Data Bricks experience.
- Background in Logistics.
- Familiarity with Agile Methodologies.
- Experience with cloud platforms, specifically Azure.
Company Culture and Equal Opportunity
The company is committed to creating inclusive environments where individuals can be their authentic selves. They are an equal opportunity employer and do not discriminate based on race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other protected characteristic. Assistance and reasonable accommodation for individuals with disabilities can be requested.
Key skills/competency
Data Engineering, Azure Data Factory, SQL, Python, Spark, DevOps, Data Modeling, Data Pipelines, Agile Methodologies, Cloud Computing
How to Get Hired at Lensa
- Tailor your resume: Highlight your 2-5+ years of data engineering experience, specifically mentioning ADF, SQL, Python/Spark, and Azure cloud expertise.
- Showcase problem-solving: Emphasize your detail-oriented approach, critical thinking, and communication skills in your application and during interviews.
- Demonstrate technical proficiency: Be ready to discuss your experience with data pipelines, data modeling, DevOps, and Data Bricks, ideally with a logistics background.
- Prepare for interviews: Expect questions on your experience with Agile methodologies and your understanding of full life cycle data engineering.
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