Data Architect
Sanofi
AWSAzureCloudGraphQLInformatica
Data Engineer
SoHo Dragon
contract
Posted on:
Location Type: Hybrid
Location: Boston • Massachusetts • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftAzureCloudLinuxPandasPySparkPythonSparkSQLTableau
About the role
- Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles and business goals.
- Solves complex data problems to delivers insights that helps business achieve its goals.
- Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity.
- Engineer effective features for modelling in close collaboration with data scientists and businesses.
- Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering in order to improve productivity as a team and quality.
- Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
- Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
- Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices.
- Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.
- Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
Requirements
- 3+ years experience as a Data Engineer, preferably in a large organization
- Experience in building data pipelines and deploying/maintaining them following modern DE best practices - target tech stack: Python OSS Data Ecosystem (PySpark, pandas, Dash); knowledge of SQL, DBT is a plus
- Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases
- Strong understanding of agile methodologies and experience as a Data Engineer on a cross-functional agile team preferred
- Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity with the Linux operating system and the Bash/Z shell
- Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services and infrastructure in the data and analytics space
- Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker)
Benefits
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architecturedata pipelinesELT principlesPythonPySparkpandasSQLDBTdata warehousesdata lakes
Soft skills
problem solvingcollaborationmentoringcommunicationcoachingleadershiporganizational skillsculture fosteringeducation planningconsulting
