Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
About the role
- Data Engineer responsible for developing scalable ETL pipelines for MENA mobility solution provider. Driving data-driven decisions and managing complex integrations in fast-paced environment.
Responsibilities
- Design, implement, and maintain ETL/ELT pipelines using AWS and custom scripts.
- Ensure robust data syncing between DWH and data sources.
- Develop and maintain scrapers of websites and mobile applications.
- Set up alerts and monitoring for data anomalies (e.g. missing data, syncing issues).
- Implement data quality assurance and validation frameworks.
- Improve query and system performance, including optimization of Redshift clusters, table vacuuming, and scheduling batch jobs.
- Work closely with DevOps for data flow integration across environments.
- Transition legacy ETLs to modern platforms and ensure scheduled exports run reliably.
- Eliminate redundant procedures and replace outdated solutions.
Requirements
- 3+ years of proven experience as a Data Engineer
- Excellent programming skills in Python and SQL.
- Hands-on experience with AWS (DMS, Redshift, S3, Glue).
- Familiarity with data scraping techniques and frameworks.
- Strong understanding of data warehousing concepts and performance tuning.
- Experience with data migration.
- Knowledge of DevOps practices and working in Agile environments.
- Ability to work independently and collaboratively in a fast-paced environment.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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