Data Engineer

Summary

Professional Data Engineer with over five years of Software development experience specializing in Database technologies, Data wrangling, Data pipeline, and analytics.
Building applications with a focus on performance, availability, and scalability for mission-critical applications.
#Specialties:
Python (pandas, numpy, dask, or pyspark), Java, knowledge of C++, SQL, Hive, HBase, Hadoop (MapR, Cloudera), Spark, Kafka, Redis, ZeroMQ, Flask, Docker
#Familiar:
Machine Learning (Scikit-learn), Microservice architecture, Data Visualization (Tableau), Spring boot, Presto, Public clouds AWS (S3, EC2, EMR, Lambda, Redshift, DynamoDB) and GCP (BigQuery, BigTable, DataPrep), Airflow/dataswarm, Scala
#CS Concepts:
Data structures and algorithms, Scaling and distributed computing, Cloud computing, Concurrency, Parallelism, Threads and Processes, CAP theorem, In-memory cache, Serverless, JVM(Java Virtual Machine)
#Domains:
Transportation, and e-commerce

Expectations

Growth opportunities, project ownership opportunities

Employment Preferences
Expected Base Salary

**0,000 USD

Academic Degree
Experience

Total Professional Experience

6 years

Startup Experience

4 years

Big-Tech Companies

1 year

Enterprise Experience

4 years
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