Data Architect Specialist
1 week ago
Job Description:
The ideal candidate for this Big Data Engineer role at Draup will be responsible for designing and implementing scalable data platforms and pipelines. As a key member of our team, you will work on building efficient and reliable data architectures using Apache Spark (PySpark) and other technologies.
Key Responsibilities:
- Design and develop scalable data architectures using big data and distributed systems principles.
- Work on ETL and ELT solutions to extract, transform, and load data from multiple sources.
- Collaborate with cross-functional teams, including data science, backend, and product teams.
- Leverage expertise in big data infrastructure, distributed systems, data modeling, query processing, and relational databases.
Requirements:
- Proficient understanding of big data and distributed systems principles.
- Strong programming skills in Python and experience with PySpark.
- Good knowledge of data structures and algorithms.
- Ability to design and implement efficient data pipelines and architectures.
Preferred Qualifications:
- Expertise in big data infrastructure, distributed systems, data modeling, query processing, and relational databases.
- Experience with workflow orchestration tools like Airflow and Jenkins.
- Knowledge of cloud-based tools like AWS EMR, Lambda, and Glue.
About You:
We are looking for a highly skilled Big Data Engineer with 2-6 years of experience working with big data technologies. You should have a strong background in computer science or software engineering and be comfortable working with large datasets. If you are passionate about building scalable data architectures and solving complex problems, we would love to hear from you.
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