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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה

We are looking for a Data Engineer to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them with real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and big-data challenges, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.
Key job responsibilities:
- Design and deliver big data architectures for experimental and production consumption between scientists and software engineering.
- Develop the end-to-end automation of data pipelines, making datasets readily-consumable by science and engineering teams.
- Create automated alarming and dashboards to monitor data integrity.
- Collaborate with internal and external partners to translate business inquiries into an analytical framework using BI tools
- Support designing and analyzing statistical tests (e.g., A/B tests) and applying statistical methods to inform data-driven decisions
- Act as the subject matter expert for the data structure and usage.

Requirements:
BASIC QUALIFICATIONS
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- Extensive industry experience in Software Development, Data Engineering, Business Intelligence, Data Science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
- Hands-on experience and advanced knowledge of SQL.
- Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.).
- Experience coding and automating processes using Python or R.
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- * Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
- * Experience working with AWS big data technologies (Redshift, S3, EMR, Glue).
- * Experience working with big-data pipelines processing video content.
- * Background in Big Data, non-relational databases, Machine Learning and Data Mining is a plus.

This position is open to all candidates.