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We are looking for a Data Engineer with 1–3 years of experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have hands-on experience with data engineering tools, cloud platforms, ETL processes, and scripting to support data analytics and machine learning workflows.
Key Responsibilities:
Design, develop, and maintain robust and scalable data pipelines for batch and real-time data processing.
Build and optimize data workflows using ETL/ELT tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
Work with structured and unstructured data stored in relational and NoSQL databases (SQL Server, PostgreSQL, MongoDB, etc.).
Develop and maintain data lakes, data warehouses, and data marts using cloud services (Azure, AWS, or GCP).
Collaborate with data analysts, data scientists, and other teams to understand data requirements and deliver solutions.
Implement data quality, validation, and monitoring mechanisms.
Ensure data security, compliance, and governance in line with organizational policies.
Write and maintain scripts using Python, SQL, or Scala to process and transform data.
Troubleshoot and resolve issues related to data ingestion, transformation, and integration.
Reach me at jessica
Additional Information
| Job Type: | IT Job | 
|---|---|
| Work Authorization: | US Citizen, Green Card | 
| Employment: | W2-Permanent, W2-Contract, Full Time | 
| Functional Area: | IT Software | 
| No. of Job Openings: | 20+ | 
| Company Address: | California, USA | 
| Job Location: | Texas City, TX | 
| Gender: | Any | 
| Qualification: | High School | 
| Industry: | IT Software / Services | 
| Language: | English | 

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