Data Engineer

Job Summary We are looking for a Data Engineer with 2 5 years of experience in building and maintaining scalable data pipelines, ETL workflows, and cloud-based data solutions. Qualification Bachelor's degree in Computer Science, IT, Engineering, or a related field preferred.

Data Engineer

Experience: 2 5 Years
Location: USA
Employment Type: Contract / Full-Time
Work Mode: Onsite / Hybrid / Remote based on client requirement

Job Summary

We are looking for a Data Engineer with 2 5 years of experience in building and maintaining scalable data pipelines, ETL workflows, and cloud-based data solutions.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.

• Work with large datasets from multiple sources.

• Build and optimize data workflows for analytics and reporting.

• Perform data transformation, validation, and quality checks.

• Work closely with Data Analysts, Data Scientists, and application teams.

• Troubleshoot and improve data pipeline performance.

• Maintain technical documentation and follow data engineering best practices.

Required Skills

• Strong experience with Python and SQL

• ETL / ELT development

• Apache Spark / PySpark

• Data Warehousing

• Cloud platforms: AWS, Azure, or GCP

• Databases such as SQL Server, PostgreSQL, Snowflake, or similar

• Experience with tools such as Databricks, Airflow, or Kafka is preferred

• Git and basic CI/CD knowledge

• Good communication and problem-solving skills

Qualification

Bachelor's degree in Computer Science, IT, Engineering, or a related field preferred.

Experience Required: 2 5 Years