What are the responsibilities and job description for the Data Engineer position at Fidelity Investments?
Job Description
Job Description:Job Title: Data Engineer
Job Description:
We are seeking a highly skilled and motivated Data Engineer to join our team in Fidelity Labs. The Data Engineer will be responsible for crafting, building, and maintaining the data pipelines and infrastructure that support AI-enabled solutions in Fidelity Labs' technology incubator. The ideal candidate will have a strong background in data engineering, with experience in designing and implementing data pipelines, warehousing, and modeling, while applying modern cloud tools.
Key Responsibilities:
- design and implement data pipelines to support the collection, storage, and processing of large datasets
- develop and maintain data warehousing solutions
- design and implement data models to support business requirements
- collaborate with data scientists and analysts to support the development and deployment of machine learning models
- ensure data quality and integrity
- stay up to date with emerging technologies and industry trends in data engineering
- bachelor's degree in computer science, information systems, or a related field
- 3 years of professional experience in data engineering
- strong experience with sql and nosql databases
- experience with cloud-based data warehousing and data lake solutions such as aws redshift, snowflake, and google bigquery
- experience with distributed computing frameworks such as apache spark and dask
- experience with distributed training and fine-tuning of language models using libraries like tensorflow, pytorch and huggingface.
- experience with data storage and data management for large datasets like parquet, hdf5, etc.
- experience with data integration and etl tools such as apache nifi, apache airflow, and talend
- experience with programming languages such as python, java, and scala
- experience with natural language processing (nlp) techniques and tools, such as tokenization, stemming, lemmatization, and sentiment analysis
- familiarity with large language models such as gpt-3, bert, and roberta
- experience working with unstructured data, such as text and audio
- experience with data pre-processing for language models like tokenization, vocabulary creation and crafting input features for language models.
- strong problem-solving and analytical skills
- a qualified candidate will be bright, highly motivated and self-starting, able to work independently within a small dynamic team
- communicate issues and status to all levels of the organization, including senior management
- provide high quality work under tight deadlines
- ability to deal with ambiguity
- good communication skills, both written and verbal
- ability to focus on delivering customer value in a highly sophisticated and fast paced environment
- ability to work collaboratively and efficiently in a virtual team environment across multiple time zones
Salary : $96,000 - $144,000
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