VLink Inc
Linkedin · Posted 8d ago
Data Engineer
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Indexed description
Key Responsibilities
- Engineered end-to-end ETL pipelines ingesting data from diverse on-premise sources (MySQL, Oracle, SQL Server, and SAP DB) into a multi-layer BigQuery data warehouse and an S3-based lakehouse; implemented Medallion architecture and Slowly Changing Dimensions (SCD) with Open Table Formats to optimize analytical performance.
- Orchestrated and automated large-scale, cross-cloud data workflows by designing and managing 20+ Airflow DAGs with SLA monitoring and automating complex ETL using Python/Java with GCP tools (Dataproc, Dataflow).
- Led cloud migration initiatives by successfully moving 200+ tables from GCP to AWS, utilizing AWS Glue, Lake Formation, and MWAA, significantly optimizing metadata governance and performance.
- Implemented a robust CI/CD pipeline using Azure DevOps to automate the deployment and management of all data assets, including AWS Glue jobs, Athena queries, Redshift, and Airflow DAGs.
Requirement
- Minimum 3 year of experience as Data Engineer
- Knowledge of programming languages: Java, Python, Bash Script
- Hands on experience with SQL
- Familiar with some of big data stacks like Hadoop, Google Cloud Bigquery, Google Cloud, Dataflow, Apache Airflow, Kafka, NoSQL database
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