Senior Data Engineering Leader
5 dni temu
Job Summary:
We are seeking an experienced Senior Data Engineer to join our team at B2B S.A. As a key member of our data engineering team, you will be responsible for designing and implementing large-scale data processing systems.
Key Responsibilities:
- Design and implement scalable data ingestion and transformation pipelines using Spark and Python.
- Collaborate with analysts and business stakeholders to develop analytics models and ensure timely delivery of high-quality data products.
- Work closely with data scientists and machine learning experts to integrate data into various analytics platforms.
- Develop and maintain complex data flows (ETLs, ELTs, etc.) to extract insights from massive datasets.
- Utilize Agile/Safe framework and cloud technologies (AWS, GCP, Azure) to deliver innovative data solutions.
- Maintain up-to-date knowledge of emerging trends in big data processing and apply this expertise to drive business growth.
Requirements:
- At least 4 years of experience working with Spark & Python.
- Strong proficiency in Spark SQL or Hive SQL.
- Familiarity with Hadoop/Hive ecosystem and/or other big data technologies.
- Previous experience in creating data flows (ETLs, ELTs, etc.).
- Proficiency in BitBucket and GIT, code versioning, and branching strategy.
- Familiarity with Agile/Safe framework.
- Cloud experience is highly desirable (AWS, GCP, Azure).
- Basic knowledge of machine learning models and experience with Scala/MLOPS.
Estimated Salary: $120,000 - $180,000 per year based on location and industry standards.
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