Pythonš ļø Key Responsibilities
- Design, build, and maintain scalable data pipelines using Python and Apache Spark (PySpark or Scala APIs)
- Develop and optimize ETL processes for batch and real-time data ingestion
- Collaborate with data scientists, analysts, and DevOps teams to support data-driven solutions
- Ensure data quality, integrity, and governance across all stages of the data lifecycle
- Implement data validation, monitoring, and alerting mechanisms for production pipelines
- Work with cloud platforms (AWS, GCP, or Azure) and tools like Airflow, Kafka, and Delta Lake
- Participate in code reviews, performance tuning, and documentation
š Qualifications
- Bachelorās or Masterās degree in Computer Science, Engineering, or related field
- 3ā6 years of experience in data engineering with a focus on Python and Spark
- Experience with distributed computing and handling large-scale datasets (10TB+)
- Familiarity with data security, PII handling, and compliance standards is a plus
Shubham Vishwakarma
Full Stack Developer - Averlon
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon