Data Engineer
First seen by Alion on Sep 16, 2026.
Job Summary :
We are looking for an experienced Data Engineer with 5+ years of hands-on experience in building and maintaining scalable data pipelines and data processing solutions. The candidate should have strong expertise in Python, SQL, ETL/ELT, cloud platforms, and data warehousing.
Key Responsibilities :
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Develop complex and optimized SQL queries for data transformation and processing.
- Use Python for data engineering, automation, and data processing.
- Work with cloud platforms such as AWS, Azure, or GCP.
- Build and maintain data warehouses, data lakes, and data models.
- Perform data validation, quality checks, reconciliation, and troubleshooting.
- Monitor data pipelines and resolve data processing failures.
- Optimize queries and pipelines for performance, scalability, and reliability.
- Work with relational and cloud databases such as SQL Server, PostgreSQL, MySQL, Snowflake, or similar.
- Collaborate with developers, analysts, data scientists, and business stakeholders.
- Follow best practices for data quality, security, documentation, and version control.
Required Skills:
- 5+ years of Data Engineering experience
- Strong SQL and Python skills
- Hands-on experience with ETL/ELT
- Strong understanding of data warehousing and data modeling
- Experience with at least one cloud platform: AWS / Azure / GCP
- Experience with databases and large-scale data processing
- Good knowledge of Git/version control
- Strong problem-solving and analytical skills
- Good communication and stakeholder management skills
Nice to Have :
- Databricks / Apache Spark / PySpark
- Airflow
- Snowflake
- Kafka
- dbt
- CI/CD
- Power BI or Tableau
Skills
Python, SQL, ETL, Data Warehousing, Cloud, Git, Apache Spark, Kafka, Tableau, Snowflake DB, Data Pipeline