Senior Data Engineer – Work Support (Multiple Projects)

Job Title: Senior Data Engineer – Work Support (Multiple Projects)
Location: Remote
About the Role:

Looking for highly experienced Data Engineers (10+ years) to provide work support and real-time technical guidance to professionals working on US-based data projects.
The role involves mentoring, troubleshooting, task validation, and project assistance on a daily basis.

Key Responsibilities:

Provide end-to-end support for data engineering tasks handled by candidates.

Help design, build, and optimize ETL pipelines and data workflows.

Troubleshoot and resolve performance or integration issues in real-time.

Guide candidates through daily deliverables and project requirements.

Ensure quality, accuracy, and timely completion of all assigned tasks.

Technical Expertise Required:

Strong proficiency in: Python, SQL, and Data Modeling.

ETL Tools: Airflow, Informatica, AWS Glue, Azure Data Factory, or equivalent.

Big Data Technologies: Spark, Hadoop, Hive.

Cloud Platforms: AWS, Azure, or GCP (preferably Redshift, Snowflake, Databricks).

Additional Skills: CI/CD pipelines, Git, data governance, performance optimization.

Qualifications:

Minimum 10+ years of experience in Data Engineering, ETL Development, or Data Pipeline Architecture.

Strong background in mentoring or technical work support preferred.

Excellent communication and problem-solving skills.