Data Engineer/Scientist
First seen by Alion on Sep 23, 2026.
Role Overview :
The Data Engineer / Data Scientist will be responsible for designing, developing, and maintaining data pipelines, performing data analysis, building predictive models, and ensuring data quality across platforms and operations.
Key Responsibilities :
- Design, build, and optimize scalable data pipelines and ETL processes.
- Develop and maintain data models, data marts, and analytical datasets.
- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.
- Perform exploratory data analysis (EDA) and create machine learning models as required.
- Implement data quality checks, validation rules, and monitoring processes.
- Automate data workflows and ensure timely availability of data.
- Work with cloud platforms such as Azure, AWS, or GCP for data engineering activities.
Technical Skills :
- Proficient in programming languages such as Python or R.
- Expertise in statistics, machine learning algorithms, and data mining techniques.
- Experience with data preprocessing, feature engineering, and model validation.
- Skilled in data visualization tools and libraries (Tableau, Power BI, Matplotlib, Seaborn).
- Familiarity with big data platforms (Spark, Hadoop) and SQL databases.
- Knowledge of cloud-based ML platforms (AWS SageMaker, Azure ML, GCP AI Platform).
- Understanding of experimental design and A/B Testing.
Quality Testing Responsibilities :
- Develop and execute data validation and data quality test cases.
- Perform unit and integration testing for data pipelines.
- Monitor data accuracy, completeness, and consistency across systems.
- Identify data anomalies and work with engineering teams to resolve issues.
Must Have :
- SQL, Python, Data Science, Azure, AWS, Spark
Skills
Python, SQL, AWS, Azure, Spark, Data Science, ETL, Machine Learning, Tableau, Power BI, Data Scientist