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Senior Data Engineer at BlackSwan Technologies
Applications are invited for all candidates to fill the Senior Data Engineer Job Opening at BlackSwan Technologies
Closing Date : 25/05/2022
Responsibilities:
- Design and build effective, user-friendly data pipelines, tooling, and automation to accelerate Machine Learning at BlackSwan Technologies
- Collaborate with ML teams to drive the data infrastructure roadmap
- Support company’s internal ML teams with data engineering best practices
- Build complex automated data pipelines for creating datasets for ML products, facilitate efficient data management
- Build data extraction & scraping pipelines for creating datasets from open web data
- Build basic data analytics pipelines
- Assist in the search for relevant datasets for various ML, NLP tasks
- Help establish standards, practices for managing ML teams’ data infrastructure
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Write clean and tested code that can be maintained and extended by fellow engineers
Requirements:
- A strong predilection for good software and the processes that make it
- 3+ years of experience as a Data Engineer working in Python
- Good working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases
- A successful history of manipulating, processing, and extracting value from large datasets
- Experience building and optimizing data pipelines & architectures
- Strong analytical skills related to working with structured datasets
- 4+ years experience with AWS or other public cloud platforms (GCP, Azure, etc.) and corresponding data tools (e.g. AWS Athena, etc.)
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Excellent verbal and written communication skills for effective communication in a multicultural environment with teams spread throughout the world
Nice To Have:
- Experience managing and building data pipelines with private dumps of large knowledge bases such as Wikidata
- Experience with Big Data processing tools
- Experience with NLP and Machine Learning product development
- Familiarity with Knowledge Engineering, Graph technologies & Graph databases, Knowledge Graphs
Apply now : https://bit.ly/3EYN3j8