Senior Data Engineer
Oportun · Financial Services
- Work arrangement: remote in country
- Employment type: Full Time
- Seniority: senior
- Posted:
Job description
Position:
Senior Data Engineer (R13923)
Company:
Oportun
Location:
Mexico, Remote
Employment type:
Not Specified
Work Arrangement:
Remote
Short Summary:
As a Sr. Data Engineer at Oportun, you will be responsible for designing, developing, and maintaining sophisticated software/data platforms, contributing to architectural decisions, mentoring junior engineers, and collaborating with cross-functional teams to deliver high-quality, scalable software solutions.
Responsibilities:
- Lead the design and implementation of scalable, efficient, and robust data architectures.
- Collaborate with stakeholders to understand data requirements and define optimal data models.
- Design and develop data pipelines, ETL processes, and data integration solutions.
- Oversee the management and maintenance of databases, data warehouses, and data lakes.
- Establish and enforce data quality standards and governance practices.
- Provide technical leadership and mentorship to junior team members.
- Collaborate with cross-functional teams to understand their data needs.
- Implement monitoring systems to track data pipeline performance.
Requirement:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 5+ years of experience in data engineering, focusing on data architecture, ETL, and database management.
- Proficiency in programming languages like Python/PySpark and Java or Scala.
- Expertise in big data technologies such as Hadoop, Spark, Kafka, etc.
- In-depth knowledge of SQL and experience with various database technologies.
- Experience in building complex end-to-end data pipelines.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
- Strong leadership, problem-solving, and decision-making skills.
Benefits:
Not Specified
Senior Data Engineer (R13923)
Company:
Oportun
Location:
Mexico, Remote
Employment type:
Not Specified
Work Arrangement:
Remote
Short Summary:
As a Sr. Data Engineer at Oportun, you will be responsible for designing, developing, and maintaining sophisticated software/data platforms, contributing to architectural decisions, mentoring junior engineers, and collaborating with cross-functional teams to deliver high-quality, scalable software solutions.
Responsibilities:
- Lead the design and implementation of scalable, efficient, and robust data architectures.
- Collaborate with stakeholders to understand data requirements and define optimal data models.
- Design and develop data pipelines, ETL processes, and data integration solutions.
- Oversee the management and maintenance of databases, data warehouses, and data lakes.
- Establish and enforce data quality standards and governance practices.
- Provide technical leadership and mentorship to junior team members.
- Collaborate with cross-functional teams to understand their data needs.
- Implement monitoring systems to track data pipeline performance.
Requirement:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 5+ years of experience in data engineering, focusing on data architecture, ETL, and database management.
- Proficiency in programming languages like Python/PySpark and Java or Scala.
- Expertise in big data technologies such as Hadoop, Spark, Kafka, etc.
- In-depth knowledge of SQL and experience with various database technologies.
- Experience in building complex end-to-end data pipelines.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
- Strong leadership, problem-solving, and decision-making skills.
Benefits:
Not Specified
Skills
- airflow
- aws
- azure
- ci/cd
- databricks
- etl
- gcp
- hadoop
- java
- jenkins
- kafka
- mariadb
- nosql
- postgresql
- pyspark
- python
- scala
- spark
- sql
Languages
EN, ES
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