Negotiable
Undetermined
Hybrid
Remote or Hybrid in Texas City, Texas
Summary: AaraTech Inc is looking for a Data Engineer with 2-3 years of experience to enhance data pipelines and analytics platforms for banking systems. The role involves ingesting, transforming, and validating financial data while collaborating with analytics teams for reporting and compliance. This position is ideal for early-career data professionals seeking to grow in the banking sector.
Key Responsibilities:
- Support ETL / ELT data pipelines
- Write SQL queries and basic Python scripts
- Assist with data ingestion and transformation
- Perform data quality checks
- Support data warehouse activities
- Collaborate with BI teams
- Maintain technical documentation
Key Skills:
- 2-3 years of experience in data engineering or analytics
- Strong SQL skills
- Basic Python knowledge
- Understanding of ETL concepts
- Exposure to cloud platforms
- Analytical mindset
- Good communication skills
Salary (Rate): £52,000 yearly
City: Texas City
Country: USA
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: Mid-Level
Industry: IT
Data Engineer Banking (2 3 Years Experience)
Company: AaraTech Inc
About the Role
AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial systems. This role focuses on ingesting, transforming, and validating banking and transaction data. You will collaborate with analytics teams to support reporting and compliance needs. Ideal for early-career data professionals.
Key Responsibilities- Support ETL / ELT data pipelines
- Write SQL queries and basic Python scripts
- Assist with data ingestion and transformation
- Perform data quality checks
- Support data warehouse activities
- Collaborate with BI teams
- Maintain technical documentation
- 2 3 years of experience in data engineering or analytics
- Strong SQL skills
- Basic Python knowledge
- Understanding of ETL concepts
- Exposure to cloud platforms
- Analytical mindset
- Good communication skills
SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Banking & Financial Data, Transaction Data Processing, Data Warehousing Concepts, AWS Basics, Data Quality, Data Validation, Compliance Awareness, Documentation, Collaboration with BI Teams