At the company, you’ll be part of a cross-functional team of engineers, data scientists, and product owners, designing and scaling algorithms and data platforms that impact millions of users. If you enjoy taking ideas from concept to large-scale execution, this role is for you.
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What You’ll Do:
- Collaborate with stakeholders to understand data practitioner needs and deliver solutions at scale.
- Define, build, and maintain the Data Platform.
- Develop distributed applications using emerging technologies.
- Own end-to-end development to deliver high-quality, scalable solutions.
- Translate technical concepts into clear business outcomes.
- Contribute to Data Discovery, Data Lineage, and Data Quality initiatives.
- Build robust data systems, pipelines, and analytical tools.
- Perform complex data analysis and present actionable insights.
What We’re Looking For:
- Strong expertise in data modeling, ingestion, ETL, data warehousing, and distributed processing.
- Hands-on experience with Apache Kafka and Spark Streaming.
- Experience working with MongoDB, MySQL, Elasticsearch, and Kafka topics.
- Proficiency in SQL, Python, PySpark, Spark SQL, and Databricks.
- Ability to build large-scale batch and real-time data pipelines.
- Experience optimizing Databricks clusters and writing performance-efficient code.
- Strong pipeline monitoring, maintenance, and enhancement experience.
- Familiarity with Kibana, QlikView, Docker, Kubernetes, GitLab.
- Experience with JIRA and Confluence.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Mathematics, IT, or related field.
- 5+ years of experience as a Data Engineer or in a similar role.
