Senior Data Engineer (Remote)

Ecom Industries

Boston, MA(remote)

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JOB DETAILS

SKILLS

Agile Programming Methodologies, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache Hadoop, Apache Spark, Artificial Intelligence (AI), Bash Scripting, Big Data, Business Analysis, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Mining, Data Modeling, Data Storage, Data Structures, Data Visualization, Data Visualization Tools, Database Extract Transform and Load (ETL), DevOps, Economics, Electronic Medical Records, Linux Operating System, Machine Learning, Mathematics, Microsoft Windows Azure, Object Oriented Programming (OOP) Languages, Physics, Power BI, Production Systems, Proof of Concept, Python Programming/Scripting Language, SQL (Structured Query Language), Scrum Project Management and Software Development, Statistics, Tableau, Testing, Virtualization

LOCATION

Boston, MA

POSTED

Today

Senior Data Engineer (Remote) - 6 Month Contract +

Basic Qualifications:

A minimum of three years developing and deploying large scale advanced analytics applications into a production environment
Minimum of five years, hands-on experience collaboratively developingcode in object-oriented language for a production environment, including:
- Experience working in Linux environment (bash scripting)
- SQL (Data Normalization)
- Python
- Data Structures (arrays, lists, stacks, queues, trees, dictionaries, etc.)
- Experience in data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling, AI, machine learning, ensemble approaches)
- Advanced experience in data visualization tools with a strong grasp of effective data modeling and visualization practices
- Experience rapidly developing proof of concepts and testing new ideas, as well as scale these ideas into production ready models

Preferred Qualifications:

Advanced, relevant education, advanced Degree (Masters or PhD) in engineering, mathematics, physics, economics, computer science, statistics, or business analytics
Experience with AWS big data services (Kinesis, Glue, EMR, Spectrum etc.)
Experience with ETL & analytics tools (AWS, Matillion, Tallend, AtScale, etc.)
Experience with data virtualization technologies (Denodo, etc.)
Experience with data visualization tools (PowerBI, Tableau, etc.)
Experience with Scrum/Agile delivery processes and DevOps concepts (i.e. CI/CD)
Experience with data storage technologies (Redshift, S3, Hadoop, Graph, etc.)
Experience with cloud Platforms (AWS, Azure, Google)
Experience with multiple languages and syntax (Python, SQL, Apache Spark, etc.)
Experience with Container based orchestration of big data pipelines

About the Company

Ecom Industries

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