Data Engineer – Data Infrastructure & eDiscovery
New
I
itDLegal technology
Remote – California.ContractMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years of professional experience in Data Engineering.
- Required Skills
- PostgreSQLPythonSQLApache AirflowETLMySQL
Requirements
- Have 3+ years of professional experience in Data Engineering.
- Bring expert-level proficiency in SQL, including relational databases such as Presto, PostgreSQL, or MySQL.
- Bring expert-level proficiency in Python.
- Have expert-level experience building, managing, and optimizing ETL/data pipelines.
- Have expert-level proficiency with workflow orchestration and data pipeline tools such as Apache Airflow or similar technologies.
- Have experience leading end-to-end data engineering initiatives with large cross-functional teams and technical and non-technical stakeholders.
- Have strong written and verbal communication skills and be able to explain technical concepts clearly and concisely.
- Be able to navigate ambiguous requirements and independently drive technical projects to completion.
- Have a bachelor’s degree in a relevant field or equivalent work experience.
Responsibilities
- Design, develop, and maintain complex ETL pipelines for large-scale data extraction, transformation, and processing.
- Build and enhance scalable data warehousing solutions for efficient querying and management of large datasets.
- Lead development of monitoring, alerting, and data pipeline systems to identify and prevent infrastructure issues.
- Develop and optimize SQL queries using Presto, PostgreSQL, and MySQL.
- Collaborate with attorneys, Data Scientists, and cross-functional technical teams to define data requirements and deliver data solutions.
- Define project plans, coordinate stakeholders, prepare technical documentation, and drive engineering initiatives through implementation.
- Identify opportunities to use AI and automation to streamline workflows while maintaining privacy and security standards.
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