Role : Data Engineer Location : REMOTE Duration : 1 Year Note: Only W2 Candidates (USC/ GC/ H4EAD/ EAD) THE ROLE: Key Responsibilities • Develop and maintain scalable data pipelines and workflows using automation and orchestration tools such as Airflow. • Build and optimize data architectures and models to support analytics and reporting needs. • Work extensively with AWS services such as Lambda, Glue, Athena, S3, Redshift, and EC2 for data processing and storage. • Ensure data integrity, quality, and security by implementing robust ETL processes and monitoring solutions. • Debug and troubleshoot data pipeline issues with strong analytical and problem-solving skills. • Implement modern data practices, including data lakes and real-time streaming processing capabilities. • Collaborate with cross-functional teams and adapt to rapidly changing technological landscapes. • Leverage tools like GIT and CI/CD pipelines for version control and deployment automation. Required Qualifications • 3-6 years of experience in Data Engineering or related fields. • Strong expertise in AWS cloud services (AWS Lambda, Glue, Athena, S3, etc.). • Proficiency in Python and SQL. • Solid understanding of data architecture and modeling concepts. • Experience with ETL tools (e.g., Pentaho, SSIS, Informatica, HVR). • Knowledge of database, data warehouse, and big data technologies. • Experience with monitoring and logging solutions. Preferred Skills • Knowledge of AI/ML and large language models (LLMs). • Experience with REST APIs and Salesforce APIs. • Technologies • AWS Lambda, AWS Glue, Athena, S3, Redshift, EC2 Airflow, Spark, Linux