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Data Pipeline Architect L2
2 weeks ago
We are looking for an experienced Mid-Level Data Engineer to join our data engineering team at SID Global Solutions APAC. In this role, you will be responsible for designing, developing, and optimizing data pipelines.
About Our Team:- We are a dynamic team that values collaboration and innovation.
- We work with cutting-edge technologies to drive business growth.
- We are committed to delivering high-quality solutions to our clients.
- Designing and implementing scalable data pipelines using modern ETL/ELT frameworks.
- Investigating and resolving Level 2 (L2) support tickets related to ingestion issues, data quality, and performance tuning.
- Optimizing SQL queries and database performance for large datasets.
- Automating data pipeline monitoring and alerts.
- Collaborating with analysts, data scientists, and other engineers to improve data workflows.
- Ensuring compliance with data governance policies and best practices.
- Mentorship and training to junior engineers.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 5 years of experience in data engineering or a related field.
- Proficiency in SQL, Python, or Scala.
- Experience with cloud data services (AWS Redshift, Google BigQuery, Azure Synapse, etc.).
- Familiarity with orchestration tools like Apache Airflow, Prefect, or Luigi.
- Strong debugging and problem-solving skills.