Lead Hadoop Big Data Engineer
4 weeks ago
Position Title: Lead Hadoop Big Data Engineer
Position Location: Hybrid - 3 office / 2 remote
- 1st Preference - Strongsville/Cleveland/Columbus OH
- 2nd Preference - Pittsburgh, PA, Birmingham, AL, Dallas, TX, Phoenix, AZ
Must Have Technical Skills:
Hadoop Big Data Engineer with PySpark, HQL, Python skills.
Hadoop Platform utilities - Hive, Oozie, Yarn, Impala, HDFS, Hbase- Hue, Beeline
Python and Shell Programming (PySpark) - Python 2.7, 0
DSP (Data Streaming Platform) - Kafka Confluent
- Model Implementation - PySpark
- Data science-based libraries (SciPy, Pandas etc) - Jupyterhub, Jupyter Notebooks, Anaconda
- Deep Learning - Keras , tensorflow, Pytorch - Jupyterhub, Jupyter Notebooks, Anaconda
- Time series Modelling - Jupyterhub, Jupyter Notebooks, Anaconda
- Model Extraction - Data Robot
CA7 Mainframe
- Familiarity of the Hadoop technology stack and utilities associated
- Python used for all data engineering tasks like ingest, ETL and aggregation
- Building consumer and producers apps to consume real time events
- To manage Kafka based dependent java libraries
- Object oriented programming language for data processing
Education:
- Bachelor's degree required.
- Certs not required, but please notate in Comments what certs a candidate possesses.
Years Required:
- Lead – 8+ yrs
Soft Skills:
- Attention to detail, team player, and self-starter.
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