Data Engineer

You will design, build, and manage end-to-end data pipelines and warehousing solutions.

Responsibilities

• Build and maintain ETL pipelines to process large datasets.
• Design and implement data models for efficient warehousing.
• Deliver end-to-end data projects independently from conception to production.
• Develop automated data solutions using orchestration tools.
• Manipulate and extract value from complex, large-scale data structures.

Required Skills

• 4+ years of experience in data engineering or a related specialty such as software engineering or business intelligence.
• Proficiency in SQL and at least one programming language including Python, Java, Scala, or NodeJS.
• Experience with data modeling and warehousing architectures.
• Hands-on experience building and delivering end-to-end data projects.
• Bachelor's degree in Computer Science or an equivalent technical field.
• Working knowledge of Python, SQL, Docker, and Shell scripting.

Preferred Skills

• Experience with AWS services including Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
• Practical use of Apache Spark, Apache Airflow, or AWS Step Functions.
• Familiarity with non-relational databases, object storage, or graph databases.
• Experience with infrastructure as code, continuous delivery, and microservices.