Job Title: Multiple Data Engineer Projects – Work Support (Remote) Experience Required: 10+ Years Location: Remote (India) Type: Work Support / Part-Time Engagement About the Role: We are working on multiple Data Engineering projects and looking for experienced professionals to provide work support for individuals currently working in the US. The ideal candidate should have deep expertise in data engineering, hands-on project experience, and the ability to guide, troubleshoot, and support real-time project challenges. Key Responsibilities: Provide remote work support and mentorship for US-based data engineering projects. Assist in resolving technical issues related to data pipelines, ETL processes, and data modeling. Optimize and maintain large-scale data systems and workflows. Support in performance tuning, debugging, and data migration activities. Offer guidance on data architecture, best practices, and real-time project execution. Technical Skills Required (any of the following): Programming: Python, SQL, PySpark ETL Tools: Apache Airflow, Talend, Informatica, or similar Cloud Platforms: AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), or GCP (BigQuery) Databases: PostgreSQL, Snowflake, MySQL, MongoDB Big Data Technologies: Hadoop, Spark, Databricks (preferred) Version Control / CI-CD: Git, Jenkins Ideal Candidate: Has 10+ years of experience in data engineering and related technologies. Strong in troubleshooting, architecture design, and real-time project handling. Flexible for US shift hours if required. Excellent communication and client interaction skills. Note: This is not a training program. Only experienced professionals capable of providing project-level work support should apply.