- 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
- Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
- Experience in Data warehousing, Data modeling, and Data architecture.
- Expert level proficiency with the relational and NoSQL databases.
- Expert level proficiency in Python, and PySpark.
- Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
- Familiarity with cloud services (preferable AWS)
- Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.
Key Roles/Responsibilities:
- Act as a technical leader for resolving problems, with both technical and non-technical audiences.
- Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
- Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
- Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
- Provide thought leadership and mentor data engineers in information presentation and delivery.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon