
Master Big Data Specialist
3 days ago
We are seeking a highly skilled Data Architect to design, build, and maintain large-scale data pipelines and architectures.
- Create optimal data pipeline architecture for efficient data extraction, transformation, and loading from various sources.
- Implement internal process improvements to automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability.
- Build necessary infrastructure using SQL and AWS big data technologies for optimal data processing and analysis.
- Develop data tools for analytics and data scientist team members to support them in building and optimizing our product into an innovative industry leader.
- Collaborate with data scientists to enhance functionality in our data systems.
Mandatory Qualifications:
- Proficiency in either Scala or Python, expertise in Spark, and experience with performance tuning and optimization.
- DBT (Data Build Tool) experience for data transformations and data modeling is required.
- 2+ years of experience in a Data Engineer role.
Nice-to-Have Qualifications:
- Experience with big data tools: HDFS/S3, Spark/Flink, Hive, Hbase, Kafka/Kinesis, etc.
- Experience with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with cloud services such as AWS/GCP.
- Strong analytic skills related to working with structured/unstructured datasets.
- Experience supporting cross-functional teams in a dynamic environment.
Requirements:
- Must have contributed to an open-source project.
- Have worked at a product company.
- Have a few weekend side projects up on GitHub.
- Able to work with object-oriented/object function scripting languages like Java, Scala, etc.
We are a dynamic and innovative organization looking for talented individuals who share our passion for technology and data-driven solutions. If you are passionate about data engineering, have a strong background in big data technologies, and excellent problem-solving skills, we encourage you to apply for this exciting opportunity.
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