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Our client is a rapidly growing Power & Gas Commodity trading company based out of Manhattan, NY. They are seeking a Manager of Data Analtyics/Engineer with commodities experience for their NY offices.
The company has offices in Houston, Manhattan, London, Australia, etc.
To support rapid growth, we are looking for a Manager of Data Engineer with a passion for solving complex problems related to data infrastructures for large scale and fast-growing datasets, including data ingestion, data consumption, processing and automation. Above all, we’re looking for someone who is driven and excited about the positive impact technology can have on business.
Let’s give you a purpose:
Tech stack:
What you'll bring along:
Manager of Data Engineering
Houston, TX 77024 US
2023-02-27
2023-04-26
Employment Type:
Direct
Category: Data
Job Number: 17933
Work Model: #LI-Onsite
Internal Reference: #LI-PF1
Job Description
Our client is a rapidly growing Power & Gas Commodity trading company based out of Manhattan, NY. They are seeking a Manager of Data Analtyics/Engineer with commodities experience for their NY offices.
The company has offices in Houston, Manhattan, London, Australia, etc.
To support rapid growth, we are looking for a Manager of Data Engineer with a passion for solving complex problems related to data infrastructures for large scale and fast-growing datasets, including data ingestion, data consumption, processing and automation. Above all, we’re looking for someone who is driven and excited about the positive impact technology can have on business.
Let’s give you a purpose:
- Design and implement the data infrastructure platforms including the data ingestion, data consumption and stream processing on AWS
- Write code to automate ingestion and transformation of data from different sources (from conception to production)
- Design, build, and own highly resilient data processing jobs
- Build systems that represent real-world intricacies of physical commodities
- Collaborate with Services team to identify and map different data sources
- Participate in code reviews to push for high quality and coding standards
- Support the development and maintenance of data engineering guidelines, policies, standards and process narratives
- Mentor and guide other data engineers in the team
Tech stack:
- Platform: Python, AWS, Postgres
What you'll bring along:
- Bachelor’s degree in Software Engineering, Computer Science
- Extensive practical experience with Data Engineering in AWS Cloud
- Development of ETL Pipelines
- Data Warehousing
- 10+ years of professional experience in managing a team of Data Engineers in AWS Cloud
- Strong foundation in algorithms and data structures
- Proficiency in Python (Dash/Plotly) and SQL preferred
- Experience with CI/CD pipelines preferred
- Strong sense of ownership and accountability