
Scalable Data Engineer – Python, SQL, AWS
3 days ago
We are seeking a seasoned data engineering expert to design and build scalable data pipelines using Python, SQL, and AWS.
- Develop ETL/ELT pipelines with PySpark, AWS, and Databricks.
- Professionally profile, validate, and transform data using Python and SQL.
- Optimize workflows for performance, scalability, and cost efficiency.
- Create automation scripts in Linux/Bash for pipeline orchestration.
- Collaborate with analytics teams to deliver trusted KPIs and metrics.
- Troubleshoot data inconsistencies, configuration issues, and pipeline errors.
- Work closely with cross-functional teams to define data requirements.
The ideal candidate will possess 5+ years of experience in data engineering, with strong expertise in Python, SQL, and AWS. Proficiency in PySpark, Linux/Bash scripting, ETL/ELT pipelines, and Agile practices is necessary. Strong problem-solving and communication skills are also required.
BenefitsThis role offers the opportunity to work on complex data projects, collaborate with a talented team, and develop new skills. The ideal candidate will thrive in a fast-paced environment and be committed to delivering high-quality results.
Other InformationA strong understanding of data operations, workflow management, and automation principles is essential. Experience with large-scale integrations and CI/CD practices is also beneficial.
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