Data Engineer II
Data Engineer II
Propio Language Services
Overland Park, KS
See who Propio Language Services has hired for this role
The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability to collaborate with cross-functional teams to support data-driven decision-making processes.
Key Responsibilities:
- Design, implement, and optimize data pipelines for efficient data processing and analysis.
- Develop and maintain ETL (Extract, Transform, Load) processes to ensure data accuracy and availability.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Ensure the scalability, reliability, and performance of data systems.
- Implement and maintain data security and privacy measures.
- Troubleshoot and resolve data-related issues and anomalies.
- Continuously improve and document data engineering processes and best practices.
- Act as a subject matter expert and strategic advisor on data-related initiatives, ensuring alignment with organizational objectives
- Perform ad hoc data analytics and reporting to meet emergent business requirements.
- Develop and optimize complex SQL queries and stored procedures for data extraction and modeling.
- Build custom automated paginated reports using SSRS (SQL Server Reporting Services).
- Bachelor’s Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; or equivalent work experience.
- Minimum of 3 years of experience in a comparable data engineering role.
- Proven experience with designing and building scalable data pipelines and ETL processes.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
- Strong programming skills in languages such as Python or Scala.
- Experience with big data technologies (e.g., Hadoop, Spark).
- Familiarity with data warehousing solutions (e.g., Databricks).
- Knowledge of data modeling, data warehousing, and data lake concepts.
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Information Technology -
Industries
Translation and Localization
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