Dice
Hadoop Data Engineer
Dice, Strongsville, Ohio, United States, 44136
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Judge Group, Inc., is seeking the following. Apply via Dice today!
Location:
Strongsville, OH
Description:
Role:
Big Data Hadoop EngineerType:
ContractualLocation:
Strongsville/Cleveland/Columbus OH (hybrid 3 days in office)Work Type:
HybridKey Responsibilities:
Attend daily standups, sprint planning, and sprint retrospective sessions and any ad hoc meetings.Coding development and unit testing.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, 3.0.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 with the Hadoop technology stack and associated utilities.Python used for all data engineering tasks like ingest, ETL, and aggregation.Building consumer and producer apps to consume real-time events.To manage Kafka-based dependent Java libraries.Object-oriented programming language for data processing.Flex Skills/Nice to Have:
Bachelor's degree required. Certs not required, but please notate in Comments what certs a candidate possesses.Contact:
This job and many more are available through The Judge Group. Please apply with us today!
#J-18808-Ljbffr
Location:
Strongsville, OH
Description:
Role:
Big Data Hadoop EngineerType:
ContractualLocation:
Strongsville/Cleveland/Columbus OH (hybrid 3 days in office)Work Type:
HybridKey Responsibilities:
Attend daily standups, sprint planning, and sprint retrospective sessions and any ad hoc meetings.Coding development and unit testing.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, 3.0.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 with the Hadoop technology stack and associated utilities.Python used for all data engineering tasks like ingest, ETL, and aggregation.Building consumer and producer apps to consume real-time events.To manage Kafka-based dependent Java libraries.Object-oriented programming language for data processing.Flex Skills/Nice to Have:
Bachelor's degree required. Certs not required, but please notate in Comments what certs a candidate possesses.Contact:
This job and many more are available through The Judge Group. Please apply with us today!
#J-18808-Ljbffr