Database Engineer at Satellite Innovations

Satellite Innovations logo
Satellite Innovations

Database Engineer

by flag
Belarus

Hybrid

Full Time

#IT

#Engineering

#Database

#Conversion

#Management

#Postgres

#Microsoft SQL Server

#AWS

#Azure

#SQL

#Python

Satellite Innovations is looking for a Database Engineer

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We are currently looking for a talented Senior Database Engineer to join our team on a full-time basis. You will be working in a hybrid capacity to support our partner, LibreMax Capital. Based in New York, LibreMax Capital is a prominent asset management firm that focuses on structured credit and asset-backed finance, managing complex products like collateralized loan obligations and residential mortgage-backed securities for a diverse range of public and private markets.

Responsibilities

  • Lead the migration of databases between AWS and Azure environments while prioritizing data integrity and minimizing system downtime.
  • Refactor and optimize existing database schemas, tables, and stored procedures to improve overall scalability and performance.
  • Execute the conversion of stored procedures into Python, utilizing tools such as DBT to streamline data transformations.

Requirements

  • At least 3 years of professional experience in database engineering, specifically with Postgres or Microsoft SQL Server.
  • Practical experience working with AWS and Azure, with a strong background in managing cloud-based migrations.
  • Advanced proficiency in SQL and Python, with familiarity in DBT being a distinct advantage.
  • Proven ability to manage test environments, implement version control, and collaborate effectively within cross-functional teams.
  • Strong communication skills in English to ensure clear documentation and team alignment.

What we offer

  • Comprehensive medical insurance coverage.
  • Full dental insurance plans.
  • A flexible hybrid work arrangement.
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Satellite Innovations

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Satellite Innovations

Data Engineer

by flag
Belarus

Hybrid

Full Time

#IT

#Engineering

#Python

#Pyspark

#AWS Cloud

#Data Integration

#Data Warehousing

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