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Job Location: South San Francisco, CA
Data Engineer :
Development Sciences Informatics is seeking a talented and experienced Data Engineer to
build core infrastructure and solutions for data search and integration. As a Data Engineer, you will design, develop and deploy scalable data pipelines and scalable and resilient cloud platform capabilities for data integration while in close collaboration with data scientists and consumers of the data to support groundbreaking therapeutics.
Competencies and Qualifications:
- A hands-on engineer who is willing to get involved in a decision-making process
- Experienced in implementing data lake, lakehouse and data warehouse architectures that supports data search and integration
- Experienced in operationalization of Data integration solutions with one or more of the platforms (e.g. Databricks, Snowflake, Redshift, Athena, Denodo, etc)
- Scale and Build data pipelines, database/data warehouse solutions to support the movement of data between different databases and applications with appropriate data mapping.
- Review source data for accuracy and completeness before integrating it into the database
- Creating reports that provide details on data quality issues and suggested solutions
- Design, develop and debug ETL integration code to meet defined source to target mappings
- Handle complex ETL requirements and design
- Creating scripts to automate data integration processes to improve efficiency and reduce human error
- Designing and implementing data security policies to protect sensitive information
- Troubleshoot problems with data integration or data warehousing systems
- Proficiency in Spark and SQL queries
- Strong Experience with cloud platforms and Devops, preferably AWS
- Good understanding of R&D processes and scientific data life cycle is a plus.
- Partner with the Data Scientists to solve complex problems and create unique
- solutions
- Must be team oriented with strong collaboration, prioritization, and adaptability skills required
- Communicate effectively with stakeholders and members of the team
- Excellent analytical, and written/verbal communication skills. Self-motivated, proactive and a team player.
- Degree in computer sciences or related field
Required Skills: MUST HAVES o Deep Learning Frameworks (Tensorflow/Keras Or PyTorch) o Open-source NLP libraries/implementations (NLTK, spaCy, HuggingFace, Gensim, TextBlob etc.) o Knowledge of AWS suite of tools o Knowledge of NLP methods (Topic Modeling, Latent Semantic Analysis, Text Parsing, Entity/Relationship Extraction etc.) Job Description: Manage and guide data science and data engineering elements of AI/ML projects Drive the development, deployment and industrialization of Enterprise NLP engines to generate value from unstructured data for the Commercial and Medical organizations. Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience and drive impact. Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide. Apply ML and applied statistics approaches to answer a variety of complex business questions using multiple data sources and technical tools. Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects.
Basic Qualification:
Additional Skills:
Background Check: Yes
Drug Screen: Yes
Notes:
Selling points for candidate:
Project Verification Info:
Candidate must be your W2 Employee: No
Exclusive to Apex: No
Face to face interview required: No
Candidate must be local: No
Candidate must be authorized to work without sponsorship: No
Interview times set:: No
Type of project: Development/Engineering
Master Job Title: Eng: Other
Branch Code: San Francisco
Job Type: Full-time
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