Data Engineer
4 weeks ago
Position Title: Data Engineer
Education: Bachelor’s or master’s degree in Data Science, Computer Science, Information Systems, or other Information Technology major, or equivalent work experience.
Required Task to be Performed:
- Design, implement, and maintain robust data pipelines and architectures.
- Develop and implement data quality control procedures to ensure the accuracy, completeness, and consistency of data assets.
- Optimize data processing workflows and algorithms for efficiency, scalability, and reliability.
- Perform ad hoc data cleansing of datasets as needed.
- Configure SAS Viya analytics platform.
- Ensure compliance with data privacy regulations and security best practices in data handling, storage, and transmission.
- Stay current with emerging technologies, tools, and methodologies in data engineering and environmental science.
- Collaborate with data scientists and analysts to optimize models and algorithms for data quality, security, and governance.
- Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance.
- Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
- Establish the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
- Provide leadership, guidance, and mentorship to junior staff members and colleagues, fostering a culture of continuous learning, innovation, and excellence in D&A practices.
Required Knowledge, Skills & Abilities:
- 3-5 years’ experience in data engineering, including designing and implementing data pipelines and ETL processes.
- Proficiency with data management platforms such as SAS Viya, Alteryx, or others (Proficiency level – 4).
- Proficiency in programming languages such as Python, SQL, or Java (Proficiency level – 4).
- Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights (Proficiency level – 4).
- Knowledge of relational database design and data modeling (Proficiency level – 4).
- Ability to establish and maintain effective working relationships with others (Proficiency level – 3).
- Ability to work independently (Proficiency level – 3).
- Ability to determine work priorities and ensure proper completion of work assignments (Proficiency level – 3).
- Ability to communicate effectively, both verbally and in writing (Proficiency level – 3).
Preferred Knowledge, Skills & Abilities:
- Familiarity with environmental science, water quality, or related fields.
- Experience with implementing data warehouses, data lakes, or data lakehouses.
- Experience with cloud computing platforms such as Azure.
- Experience with business intelligence tools such as Qlik Sense.
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