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ETL specialist (for a startup hedge fund)
ETL specialist (for a startup hedge fund)
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ETL specialist (for a startup hedge fund)

Nataliia Mediana's profile picture
Posted by Nataliia Mediana
3 - 8 yrs
$24K - $60K / yr (ESOP available)
Remote only
Skills
ETL
PySpark
Data engineering
Data engineer
athena
Amazon S3
skill iconMachine Learning (ML)
skill iconData Science
skill iconPython
Apache Kafka
Apache Spark
Data modeling
Predictive analytics
AWS Glue
We are a nascent quant hedge fund; we need to stage financial data and make it easy to run and re-run various preprocessing and ML jobs on the data.
- We are looking for an experienced data engineer to join our team.
- The preprocessing involves ETL tasks, using pyspark, AWS Glue, staging data in parquet formats on S3, and Athena

To succeed in this data engineering position, you should care about well-documented, testable code and data integrity. We have devops who can help with AWS permissions.
We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.

If you enjoy setting up something which many others will rely on, and have the relevant ETL expertise, we’d like to work with you.

Responsibilities
- Analyze and organize raw data
- Build data pipelines
- Prepare data for predictive modeling
- Explore ways to enhance data quality and reliability
- Potentially, collaborate with data scientists to support various experiments

Requirements
- Previous experience as a data engineer with the above technologies
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About GitHub

Founded :
2008
Type :
Products & Services
Size :
20-100
Stage :
Raised funding

About

We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has  world class investors and big data experts as part of the GP,  top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.

We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.
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Connect with the team

Profile picture
Nataliia Mediana
Profile picture
Timothy Chklovski
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Manas Ranjan Kar
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Rohan Deshmukh

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